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Paper Citation Record · LEDGER

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

As of 10 August 2026, this Paper Citation Record lists 100 of 195 outbound references and 7 inbound Pith citation observations for arXiv:2505.23009.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.23009 v1

Coverage vector

measured 100 of 195 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:32.450042Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:20:42.015534Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 195 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7d460f25-18c0-4329-9174-9cf3247ae840 · outbound

This paper cites https://huggingface.co/openbmb/MiniCPM-o-2_6.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://huggingface.co/openbmb/MiniCPM-o-2_6

Reference 1

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source=pdf_text observed=2026-08-07T12:59:22.123813Z digest=sha256:a4250e2375c82e6384c98f814f1b101429ffaa10968632c2b1d64a6601e08fd8

Observation 176414f3-bc3c-437f-a44a-2f9f85b6a498 · outbound

This paper cites https://github.com/suno-ai/bark.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/suno-ai/bark

Reference 2

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source=pdf_text observed=2026-08-07T12:59:22.355934Z digest=sha256:108e499985ec5796e59781e8c0a2daee671695b53eb7f2909d13e02df0322396

Observation 11bd66d3-2f8a-43c5-ac37-f34a81ba86a0 · outbound

This paper cites https://github.com/neonbjb/tortoise-tts.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/neonbjb/tortoise-tts

Reference 3

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Observation 205fee0c-98cd-4066-8c0f-90393b0867ad · outbound

This paper cites https://github.com/wenet-e2e/WeTextProcessing.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://github.com/wenet-e2e/WeTextProcessing

Reference 4

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source=pdf_text observed=2026-08-07T12:59:22.598188Z digest=sha256:3de663a7b932a4ad9d3f20e38b82c231ef7f8e201f97494387a0a8e476e5fc60

Observation 71cea248-dfa8-4a11-a6c1-89e155429b41 · outbound

This paper cites https://huggingface.co/Zyphra/Zonos-v0.1-transformer.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge https://huggingface.co/Zyphra/Zonos-v0.1-transformer

Reference 5

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source=pdf_text observed=2026-08-07T12:59:22.693266Z digest=sha256:c96b3418f4b7f1dfc8bcc7aa3645e9e1461828ae8a35c29a97ff4303fe1aef9d

Observation dca4f373-43c2-43b2-b8da-0eed141567e1 · outbound

This paper cites Seed-tts: A family of high-quality versatile speech generation models, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Seed-tts: A family of high-quality versatile speech generation models, 2024

Reference 6

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Observation 0cc3aa6f-a4f7-4cf6-bce4-5376fbf511d6 · outbound

This paper cites Hifi++: A unified framework for bandwidth extension and speech enhancement.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Hifi++: A unified framework for bandwidth extension and speech enhancement

Reference 7

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source=pdf_text observed=2026-08-07T12:59:22.903641Z digest=sha256:9a5367ac5955dbfae89bde6adf0c7c15ee099cd6061c44c91a61db6cba526729

Observation 1219e962-6254-4cb4-a3d6-ffb802aac7e0 · outbound

This paper cites Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources

Reference 8

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Observation 25f6b129-e257-4dd4-90f3-c6e970419d49 · outbound

This paper cites Orpheus-tts.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Orpheus-tts

Reference 9

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source=pdf_text observed=2026-08-07T12:59:23.142124Z digest=sha256:e0c1aab859897ce9f1343b8417114bdbd1dbde20d6fab8219486b69ad0000bdb

Observation 9573afaa-fdaa-40fd-bd92-325d8626ffce · outbound

This paper cites Audio large language models can be descriptive speech quality evaluators.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Audio large language models can be descriptive speech quality evaluators

Reference 10

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Observation 39b992d5-7897-4cfb-83ea-73292e43ac8c · outbound

This paper cites SANE-TTS: Stable and natural end-to-end multilingual text-to-speech.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge SANE-TTS: Stable and natural end-to-end multilingual text-to-speech

Reference 11

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source=pdf_text observed=2026-08-07T12:59:23.364616Z digest=sha256:18adba18bd373614e3cb23872f0260ab9c37e331beb3b922074bf6dbc663100a

Observation 56a54051-a366-48b9-862e-615c720327c4 · outbound

This paper cites Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models, 2023.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models, 2023

Reference 12

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source=pdf_text observed=2026-08-07T12:59:23.494815Z digest=sha256:1ebc4250758d0ef4dc4bf5f936f1c1a64fb82c51bc96b01d5213ef99b6a2f6fb

Observation 5047b16f-a4b8-4120-a823-05751a391966 · outbound

This paper cites Deepseek-R1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Deepseek-R1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 13

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source=pdf_text observed=2026-08-07T12:59:23.590194Z digest=sha256:0b7d99c07d9e80bf9fa063435c27bb853ece09772764c679847b97c2a9379bdf

Observation 06f49cbb-da56-49b4-9248-2dd786226f6f · outbound

This paper cites Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens, 2024

Reference 14

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source=pdf_text observed=2026-08-07T12:59:23.715236Z digest=sha256:d541348d71bfb880001b347f2889467c3f7579871d11f351320005e6b13fdc31

Observation 3812c265-737b-45e2-b200-f1e471dd9f28 · outbound

This paper cites Wavllm: Towards robust and adaptive speech large language model, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wavllm: Towards robust and adaptive speech large language model, 2024

Reference 15

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source=pdf_text observed=2026-08-07T12:59:23.847705Z digest=sha256:81342a8df66e3de873f684079e9bcb424e3e80a226b103e1d9af732c175e3bc0

Observation 804fcd4e-c745-4e92-87df-30b7af093e2b · outbound

This paper cites Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, and Yu Tsao.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, and Yu Tsao

Reference 16

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source=pdf_text observed=2026-08-07T12:59:23.943571Z digest=sha256:ca1ccd09c6b1570a4c56c750a1f793e4b5f8348c6efc599eaaafa9895c7a7c9a

Observation 9bdaf572-7d40-484f-932b-605afea9cd2c · outbound

This paper cites Wavreward: Spoken dialogue models with generalist reward evaluators, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wavreward: Spoken dialogue models with generalist reward evaluators, 2025

Reference 17

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source=pdf_text observed=2026-08-07T12:59:24.041125Z digest=sha256:cf93c12c7d65191cdcb353b6f352ce632d380d16e53543669e37896985854e2c

Observation a0b577b6-d7ec-4def-ad2e-7ef96c4077be · outbound

This paper cites BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Reference 18

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source=pdf_text observed=2026-08-07T12:59:24.161122Z digest=sha256:d5346533b77846c2646ce4f29f8b73003c9e87dc4fcb8417019b7cd029b46b8d

Observation 225e90b0-357b-47a4-8dcf-8518578642d9 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-07T12:59:24.282631Z digest=sha256:652c1390376e8ce489cfbb5e84b54ed46a2edab5292f67aedd9752c31b09181b

Observation 08ecea3b-720a-4266-9a1d-f1f0f65feb4b · outbound

This paper cites The Application of Speech Synthesis in Car Warning System, pages 657–662.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge The Application of Speech Synthesis in Car Warning System, pages 657–662

Reference 20

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source=pdf_text observed=2026-08-07T12:59:24.420902Z digest=sha256:0c9dcddbf74e4fc10dd254f7f9a64ad28b2c114bd38b34c5e4ab570527d1544f

Observation 02998162-fed0-4d2e-a154-109f23891f60 · outbound

This paper cites Inference-time scaling for generalist reward modeling, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Inference-time scaling for generalist reward modeling, 2025

Reference 21

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source=pdf_text observed=2026-08-07T12:59:24.521051Z digest=sha256:6984d248891bf79c6fd2b7b0063ca265747d6749a00bc64e1a27b40faead048f

Observation 220e2358-44db-4470-9ef0-1db34854ae26 · outbound

This paper cites Generalized multilingual text-to-speech generation with language-aware style adaptation, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Generalized multilingual text-to-speech generation with language-aware style adaptation, 2025

Reference 22

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source=pdf_text observed=2026-08-07T12:59:24.611021Z digest=sha256:0b6be11369fcce2585ddbc9d2c08c4e07138f951e6e864baf9620be937eb3272

Observation c50c5376-b576-4454-92f1-b54e576b8816 · outbound

This paper cites Somos: The samsung open mos dataset for the evaluation of neural text-to-speech synthesis.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Somos: The samsung open mos dataset for the evaluation of neural text-to-speech synthesis

Reference 23

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source=pdf_text observed=2026-08-07T12:59:24.707740Z digest=sha256:a2be011d0558c8e3fd7b0181ba98483aaf96500d2ca66e31c02e74edfd0328d3

Observation 3fff9e79-0d00-47d1-b06b-4cdbb79b3d04 · outbound

This paper cites Youth disability: Adopting text-to-speech and screen reader technologies for library and information services.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Youth disability: Adopting text-to-speech and screen reader technologies for library and information services

Reference 24

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source=pdf_text observed=2026-08-07T12:59:24.780715Z digest=sha256:398ca2de94f06ceb6206fb7f7c8b187d513e715f20fe7741772264f32016e5cb

Observation 77fcdec5-a860-46eb-b800-0db6f90b69cf · outbound

This paper cites Applications of voice quality technology in virtual assistants and call centers.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Applications of voice quality technology in virtual assistants and call centers

Reference 25

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source=pdf_text observed=2026-08-07T12:59:24.880672Z digest=sha256:27087ff5a40ebb58afe8461bd6f11e21ea1832aa69cd02452df08b9a02e7fbed

Observation d39c6652-fea0-45fe-bac4-724212e43122 · outbound

This paper cites Prosody analysis of audiobooks, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Prosody analysis of audiobooks, 2025

Reference 26

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source=pdf_text observed=2026-08-07T12:59:24.981542Z digest=sha256:2f951d87df3c1022df5c1e721ff61bb219661e1ef2286da1c02277d728f5ae40

Observation 4b662415-ad37-4e82-a618-3137101bb7c6 · outbound

This paper cites Robust speech recognition via large-scale weak supervision, 2022.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Robust speech recognition via large-scale weak supervision, 2022

Reference 27

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source=pdf_text observed=2026-08-07T12:59:25.067775Z digest=sha256:5e3aafcb21a4448da8413bdca626cf9e4881bbd054712c0721168db54121115a

Observation 3f907a15-6d7c-4901-a202-182d1d49f7c4 · outbound

This paper cites Text-to-speech software and reading comprehension: The impact for students with learning disabilities.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Text-to-speech software and reading comprehension: The impact for students with learning disabilities

Reference 28

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source=pdf_text observed=2026-08-07T12:59:25.115166Z digest=sha256:65663cf46a66d74ecf9c847376daf1e5a197f02da33ad7d559cd9fe3e7313e6c

Observation ccaee203-f3f2-47ed-971c-bdff8ca04546 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-07T12:59:25.186851Z digest=sha256:96ba6019ad0b66131b2eb8a2200c6f7445a5e51e32314ce12c6275a98d4223de

Observation 06b7c93c-9bb8-4859-9815-b9943bb563e2 · outbound

This paper cites Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024

Reference 30

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source=pdf_text observed=2026-08-07T12:59:25.232231Z digest=sha256:8e9d93c2053cbf997a598c90cf4d4e1e54817bf4f4de8619525cfe6412de4453

Observation ce95ec3c-8843-4b13-9fc3-9731dad368bb · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 31

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source=pdf_text observed=2026-08-07T12:59:25.279897Z digest=sha256:17a1b5c343bb99574dd20baf5d51f03ea6c8506df0946c54579cb8a98c0e76af

Observation 4fedfc3c-0909-4d36-ad68-1fc6c9150207 · outbound

This paper cites Parikh, and Jason Riesa.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Parikh, and Jason Riesa

Reference 32

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source=pdf_text observed=2026-08-07T12:59:25.341168Z digest=sha256:22b957ff918eda0ba55dd50b9172f9aa4e6ea20ceef8521e8848388fd998c035

Observation 8764040b-11e9-4bd1-a8ac-19766a69ce11 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-07T12:59:25.396915Z digest=sha256:4d81245cfe76175a3d7ba5b2a5fcf09073e4a3606560577ddf4837d56ea53191

Observation c3841355-056b-4b48-8d46-b2b8cf3cc79b · outbound

This paper cites Salmonn: Towards generic hearing abilities for large language models, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Salmonn: Towards generic hearing abilities for large language models, 2024

Reference 34

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Observation d44b5ea1-3526-4997-8794-7eb30d365729 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Gemini: A family of highly capable multimodal models, 2025

Reference 35

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Observation 0e9ff48b-22c2-4d19-b40c-ad3de0ec1f1b · outbound

This paper cites Speech recognition challenges in the car navigation industry.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Speech recognition challenges in the car navigation industry

Reference 36

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source=pdf_text observed=2026-08-07T12:59:25.625324Z digest=sha256:cd1fb42337b1d0cbd37d625314b2014d7ce1498e8bcf476de1c4902ee96eb5d7

Observation a94b5756-767f-4225-97dd-ce33f2d74e80 · outbound

This paper cites Freeman, and Markus Weimer.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Freeman, and Markus Weimer

Reference 37

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Observation 6f411fbb-90d1-4790-b96c-c251c41d86ae · outbound

This paper cites Evaluating text-to-speech synthesis from a large discrete token-based speech language model, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Evaluating text-to-speech synthesis from a large discrete token-based speech language model, 2024

Reference 38

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source=pdf_text observed=2026-08-07T12:59:25.748602Z digest=sha256:1898ea08a7256a1c7c2d02f612909368c61ee58870ac8f36c2fe4dac26f4cdde

Observation f7022443-a363-47e2-a468-4f476e080456 · outbound

This paper cites Enabling auditory large language models for automatic speech quality evaluation, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Enabling auditory large language models for automatic speech quality evaluation, 2025

Reference 39

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Observation 0b08332e-dd81-4e60-b141-fc9aac8937d1 · outbound

This paper cites Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens, 2025.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens, 2025

Reference 40

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source=pdf_text observed=2026-08-07T12:59:25.920779Z digest=sha256:4046ffcb5001c9cc686eae564743e809fd092ffa2027f9a9b9b90c1ccc00789a

Observation 836b5a4e-c5f4-4ab7-a3b0-8dbc892069a1 · outbound

This paper cites The iscslp 2024 conversational voice clone (covoc) challenge: Tasks, results and findings, 2024.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge The iscslp 2024 conversational voice clone (covoc) challenge: Tasks, results and findings, 2024

Reference 41

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Observation debefcb3-c5e9-4b3f-a07e-524e1b50360f · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 42

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Observation 33d7b041-cf1c-4322-8a0b-1f635b6f3629 · outbound

This paper cites text_to_synthesize.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge text_to_synthesize

Reference 43

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Observation 35c5e7d3-918a-4f7c-a261-3eceb2c75a1b · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 44

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Observation 1d987801-33ba-464b-96e5-703975a92a9a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 45

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Observation dd9bf107-fe39-43f5-ada9-aeeda5173772 · outbound

This paper cites 14 The main goals for the set are:.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 14 The main goals for the set are:

Reference 46

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Observation c710b730-9660-4ff2-b29d-a405f6b5d19a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 47

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Observation b03ca92b-1cd0-4d77-91d6-088758653038 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 49

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Observation aed2c966-d6a2-47ca-a9ec-270e912f45e0 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-07T12:59:26.573584Z digest=sha256:39aef546b720b7b50f5e26ba16891b32e7f9067dcebaaa3c5cedaada0f0d93b9

Observation a111fa93-839e-4f90-b15f-e6a2809163ea · outbound

This paper cites "" You are evolving a **text_to_synthesize** sample belonging to the.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" You are evolving a **text_to_synthesize** sample belonging to the

Reference 51

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Observation 5d49c281-d494-455c-93db-b5a69eceac19 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T12:59:26.715583Z digest=sha256:471e52e9f8bceb2a4a62f880edd504e0b5b1f0cf8eb151f15f1a18ecab0b3881

Observation f929fd24-fbf1-47fb-af6f-48aa39202da0 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T12:59:26.792318Z digest=sha256:9aca40438ac214cb894fc1be720bd85ccabe53573a6e3bae3b12a865ed876f31

Observation 543f222a-f4d2-4bfd-b76d-01f1b0ed60cd · outbound

This paper cites Then, **add one** related, grammatically complete question *immediately following* the modified text.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Then, **add one** related, grammatically complete question *immediately following* the modified text

Reference 54

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Observation dcb6d042-9ce0-46cd-b610-71ca305cd175 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

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Observation c0e415e7-6f73-4935-9847-edd856cb5c86 · outbound

This paper cites to be" is replace with.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge to be" is replace with

Reference 56

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source=pdf_text observed=2026-08-07T12:59:26.973562Z digest=sha256:127949c4a7ac755b05ee4930c1462e65b1476632b289e8fb6524375769e4a133

Observation 30ac59cc-7920-4ada-8d77-b2e57f6cceb1 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

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source=pdf_text observed=2026-08-07T12:59:27.030998Z digest=sha256:12c0097c803b59861226294cefa3953c4bfa1c6170fc69b7d4df1fc088c2b923

Observation d0565783-dcda-4219-acc0-5c6007727da4 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

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source=pdf_text observed=2026-08-07T12:59:27.086258Z digest=sha256:1a71edc0d0946b2e8503f143d4bb1fcc9627db51d7f6d1eb480b923a28101268

Observation e271a5e9-b6aa-43d6-add7-1c9afd96eaef · outbound

This paper cites Ensure that each language has atleast 1 foreign phrase.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Ensure that each language has atleast 1 foreign phrase

Reference 60

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source=pdf_text observed=2026-08-07T12:59:27.198739Z digest=sha256:265bfb1b6f75e22f58706cd54db30fdd0b76b189c73d9bed929ee6c5c29510dc

Observation 9fa272ac-c5d6-4d88-a2a7-0d86d180d2e5 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T12:59:27.292209Z digest=sha256:45a7b01bcd78d48621f64608db7c2c9cbc020892d87263add87f6c4dea190598

Observation 6d9746e4-2927-4936-8bbf-8ee8475a7442 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

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source=pdf_text observed=2026-08-07T12:59:27.467276Z digest=sha256:ed49fd98c7485e757536a488f0d7d9f019acbb806f18b625c220a58d220656a9

Observation 32ad117d-61fc-4d78-b296-27be04880419 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T12:59:27.624271Z digest=sha256:9b512e5c91d8f85d8e29392d2a1836d42eff74d4a14c85ba2cac9a2bb51ae94a

Observation f40ed726-ba8b-45af-805f-3cc8f18be4aa · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-07T12:59:27.745718Z digest=sha256:e4046bbe786c654574978045158d7226505038e3263c4948d1cbb33b61394cc8

Observation 41121d68-b659-4905-bf8d-54906bef987f · outbound

This paper cites All foreign words **MUST** not be duplicated.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge All foreign words **MUST** not be duplicated

Reference 65

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source=pdf_text observed=2026-08-07T12:59:27.894566Z digest=sha256:e5511aa7df009d96b31e43e8203595d95e8acb81184d036ac8b3344aa8e9b1e4

Observation 243e118a-0065-476d-a402-873f629b6994 · outbound

This paper cites AT THE SAME TIME, do not use very obscure words that don’t exist in the modern vocabulary, we want to create natural day-to-day sentences that bi- lingual speakers will speak**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge AT THE SAME TIME, do not use very obscure words that don’t exist in the modern vocabulary, we want to create natural day-to-day sentences that bi- lingual speakers will speak**

Reference 67

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source=pdf_text observed=2026-08-07T12:59:28.177302Z digest=sha256:b833631803b12d1d62e1d7f708d5ec0b3e86a03ca8b81f9b0c7eeb36094a54b7

Observation b38f60da-9773-4580-ae79-7661842875cf · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-07T12:59:28.285440Z digest=sha256:4d32ac6dc3bc57bb5498ce52a693563cb48e9e7e6aa9995d82efd339b736b8cb

Observation c5c6a5f0-cdff-4316-b5ad-f9ef20036179 · outbound

This paper cites misc" field, add a new key.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge misc" field, add a new key

Reference 69

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source=pdf_text observed=2026-08-07T12:59:28.432064Z digest=sha256:86fe8ad23c781716941f9996fcb05edb44a66cbc29fa71f2bc04d48633c5a3ba

Observation c4834ec5-e4ba-42db-8704-0cabcaed7b8c · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-07T12:59:28.565040Z digest=sha256:33db33d0cca4896af059894834ad55b3bde71f61dc3fbb2fe7c3e394187f4fa2

Observation ec22d491-1d67-4d98-9418-2ff6adef3e98 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-07T12:59:28.727127Z digest=sha256:3a81981355fc648d4be37e8a11ffa191c021b80c25607f210b150da3b11716be

Observation e601e8ff-beab-40e2-add8-1d56f1b3cf40 · outbound

This paper cites Mention how this **DOES NOT** make the text syntactically awkward.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Mention how this **DOES NOT** make the text syntactically awkward

Reference 72

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source=pdf_text observed=2026-08-07T12:59:28.874003Z digest=sha256:493c7137cb1236b65a988c017ff8298ed0707edc7cc3dd72d2472b6a2ec4fbd4

Observation 88da4798-9a24-4e77-b28a-468d9cd03249 · outbound

This paper cites **For Approach 2, state the original short phrase, the absorbed English words, and the resulting longer foreign segment with its word count.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge **For Approach 2, state the original short phrase, the absorbed English words, and the resulting longer foreign segment with its word count.**

Reference 73

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source=pdf_text observed=2026-08-07T12:59:28.949777Z digest=sha256:65c3bf86385a423b8ee7307e8f1c56fc05eacde6bd9076379e923854c3f05586

Observation 169fe26c-aa56-422b-9329-90c2919897ea · outbound

This paper cites **For Approach 2, emphasize the challenge of sustained foreign language synthesis and grammatical integration.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge **For Approach 2, emphasize the challenge of sustained foreign language synthesis and grammatical integration.**

Reference 74

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source=pdf_text observed=2026-08-07T12:59:29.040989Z digest=sha256:355bca06706d6a1c154e6feb38df62a3bd2470e34ce1862da9bc3519a299b746

Observation 4540adda-36e9-4873-a938-1a8ab66ec053 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-07T12:59:29.136251Z digest=sha256:74768dac3c83e1b3f764cffa73caead0c8d24af1aeeb0719528303142efc7dee

Observation 8332f690-7b54-4320-92fa-122401ab0c7f · outbound

This paper cites 7.2 Restructure, paraphrase and edit the text grammatically to ensure **NO AWKWARDNESS** in the text.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 7.2 Restructure, paraphrase and edit the text grammatically to ensure **NO AWKWARDNESS** in the text

Reference 76

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source=pdf_text observed=2026-08-07T12:59:29.222566Z digest=sha256:8caef53c4e32bfcc68bd78676c10f003e2982bc87deb32eb370d0b922de58bff

Observation 9e3f6aee-df8c-49ac-923a-65d3d8e5cf25 · outbound

This paper cites "" A.3 Category 3: Paralinguistics Figure 7: Example depth-refinement for paralinguisitcs category. Starting with just one cue.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" A.3 Category 3: Paralinguistics Figure 7: Example depth-refinement for paralinguisitcs category. Starting with just one cue

Reference 77

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source=pdf_text observed=2026-08-07T12:59:29.362145Z digest=sha256:de5b6b6fe88e669ab8254a3fbc9e14558d3fdbc4730e00ba785356e9805c00da

Observation 09ca8552-41f1-4f9b-8b42-8d6c5dabbd12 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-07T12:59:29.467472Z digest=sha256:272cb8d081da7e1405068b825ee20b9bded3c1cf3b9de25bfb1734a8e9083f15

Observation 6a6cf1f2-b8eb-4453-af8e-d5469828e5c8 · outbound

This paper cites Uh", "Uhmm.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Uh", "Uhmm

Reference 79

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source=pdf_text observed=2026-08-07T12:59:29.571387Z digest=sha256:8cf34b4974a1f9833ea601d87a4718c1a51a923d143333ca8a18355e3b75d4c8

Observation 8b59f380-e9cc-4dce-a65f-d4e0a0a5b720 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-07T12:59:29.813008Z digest=sha256:9175cfcd046085de39093cb293e72576e44cba59dd5f234cf9f74563230dd3dd

Observation d357c59a-ccb0-4335-9dd4-cb0afbb05791 · outbound

This paper cites These should be sounds that humans can produce well based on the textual cue.**.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge These should be sounds that humans can produce well based on the textual cue.**

Reference 82

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source=pdf_text observed=2026-08-07T12:59:29.957462Z digest=sha256:6d153081f21685d2176d34d2e264ffc7fa45be6ec9a068993bf5db55db53463b

Observation 8cdd50da-ab9f-44c1-8672-78dca6eef352 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-07T12:59:30.031457Z digest=sha256:7317943313eed9fa30d2f4a0ab3297d6dccee0b76f28cb66d47c9049ddce173c

Observation 4ab87708-898f-4623-8e0d-a537c1033c9a · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-07T12:59:30.094257Z digest=sha256:0395dc8f2d18a4b5eeb538a4c933406cfde894ce123eb936602717e8b0895e57

Observation 2d0f7291-9fda-437e-8624-9a06a4eb00cd · outbound

This paper cites "" You are tasked with enhancing the paralinguistic complexity of the provided ** text_to_synthesize**, which belongs to the.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge "" You are tasked with enhancing the paralinguistic complexity of the provided ** text_to_synthesize**, which belongs to the

Reference 85

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source=pdf_text observed=2026-08-07T12:59:30.225119Z digest=sha256:d0b4f5e564df54f9fb40b59db8c968675bcb8f92b84a320983e4ae27d678a7fc

Observation 8d9ce7d6-1488-4ebb-b0fc-bb48fa7f0e23 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-07T12:59:30.364305Z digest=sha256:e87712cb856a10bed8798695f1b2cf35a904eda602359961d26751c2277c2e68

Observation 24727f29-47b2-46a7-9a93-1d568378acf1 · outbound

This paper cites Wow !",.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Wow !",

Reference 87

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source=pdf_text observed=2026-08-07T12:59:30.487507Z digest=sha256:c2574c1654641dd70c8390e629dbd27eee15dfc11e08d0381c51387da00ded9a

Observation f03cf393-e0c0-4fbf-b2ab-151d1e96b2f5 · outbound

This paper cites Focus only on cues the TTS would encounter in the direct text-to-be- synthesized.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Focus only on cues the TTS would encounter in the direct text-to-be- synthesized

Reference 88

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source=pdf_text observed=2026-08-07T12:59:30.594796Z digest=sha256:f47086ab51721101d82d0ac8224fbcefcfc5138945644d4d3c39c56273aca64a

Observation 28520f57-556c-463f-b365-b4c7c009dcc3 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-07T12:59:30.704923Z digest=sha256:a8b42392bcb9d620711d8ae7b1d3be10d4321071f5f1a95d1a9dd878789527d8

Observation 5c44beae-ec06-48a0-b417-c6bb3026b638 · outbound

This paper cites * It must **NOT** sound forced, nonsensical, overly exaggerated beyond plausibility, or contain cues that contradict each other.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge * It must **NOT** sound forced, nonsensical, overly exaggerated beyond plausibility, or contain cues that contradict each other

Reference 90

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source=pdf_text observed=2026-08-07T12:59:30.808239Z digest=sha256:17a6c449ba473158adc802d7c2a329f7eaa54af5136ed4967d99138a297392a7

Observation e49f29be-416b-4239-8ebb-3234e85c6faa · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-07T12:59:30.930508Z digest=sha256:a5d9f03a23962833cc2e3c279c3ccf09b9e0d69c1aae16a2eb8302458012a7c0

Observation bd5f39c7-82a0-47e5-b052-e528720b64c1 · outbound

This paper cites You can choose to add one or two cues.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge You can choose to add one or two cues

Reference 92

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source=pdf_text observed=2026-08-07T12:59:31.014314Z digest=sha256:a817d83c09a4f16799963e996d6782e0e5b9853bc2459c151cbeb518ce166110

Observation 1858efc9-911b-4ab5-b37c-765be498ba55 · outbound

This paper cites Novel cues are preferred but not required.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Novel cues are preferred but not required

Reference 93

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source=pdf_text observed=2026-08-07T12:59:31.102992Z digest=sha256:f6c6c6713d0622dc5b7f100ad06901c3ac4cbc8060c6357900c1275205788204

Observation f67d7969-9178-494d-9f0b-9aaccde3ca9e · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-07T12:59:31.254564Z digest=sha256:d1edf37ebbe35f91dc96655301e420477209427f711ddbaa920c542329c11c81

Observation be46df3a-8210-4036-b6ff-fe2477a8631e · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-07T12:59:31.348771Z digest=sha256:c4302cbe6d96298c20e2d484d3096099bd54df1d7e117f860d8418db6eb3bc53

Observation 6d52ea3c-92b3-462d-bfe4-ed5cf0beed83 · outbound

This paper cites Emotions.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Emotions

Reference 96

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source=pdf_text observed=2026-08-07T12:59:31.455382Z digest=sha256:9a8e1f25ba4c241adc9391d7cf7d47aef532c67e7a21190f2d4df5af66844dc4

Observation e63bf173-1c7e-4182-8758-33248d42e2ba · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-07T12:59:31.525274Z digest=sha256:697bff0221a8a6ce681f99337c0742e5f704fe6dadd573eaa836125c09a7023b

Observation 9031e647-fa41-4c74-b652-45290ba6fafc · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-07T12:59:31.621426Z digest=sha256:f1613c853d2551274e4039d8f72a2323c195b0552fe7309f07f2a1df19b8b7f8

Observation ae44ed3c-3996-4870-989b-19228291633b · outbound

This paper cites 24 The main goals for the set are:.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge 24 The main goals for the set are:

Reference 99

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source=pdf_text observed=2026-08-07T12:59:31.721052Z digest=sha256:ec1fbfe0dd06cf594f2c21e5e52d9f959ac60e99df18f60c2f4203af10c46826

Observation 379279bb-1331-4267-a387-cb229366b3d3 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-07T12:59:31.890385Z digest=sha256:e10cee7958ca4446f4904c35e1fafb6597bacf23c2de0f6995439bad0a11585b

Observation bdb7ddf5-6f8b-430b-9cbb-9497568f9ca8 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 101

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source=pdf_text observed=2026-08-07T12:59:32.018235Z digest=sha256:7f3984764f3dfc5c42ddd2991c86a4ff3cb4dda59cdedb84279fd70ab9c29f7d

Observation 5c323fcf-5f3e-4d01-a271-85252a4d8d4c · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 102

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source=pdf_text observed=2026-08-07T12:59:32.134190Z digest=sha256:47a9060a0e3b8be34682bb1b27395da59cde123a72ef7e1d806c8496164baa51

Observation 9a3c38c9-0dcb-44fd-b6f1-0be4796b789b · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 103

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source=pdf_text observed=2026-08-07T12:59:32.308858Z digest=sha256:e9e3162415f7c05f28e84a8ae995b9208fbfa16a6d2405b5e4682ee051b67265

Observation 9f6c2e27-0f66-4f69-8bd8-ec35d2275932 · outbound

This paper cites an unresolved cited work.

EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Unresolved cited work

Reference 104

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source=pdf_text observed=2026-08-07T12:59:32.450042Z digest=sha256:d546fb8b65fdc6c9c555d35be2e2986a1e7bb26e75ecab18f172155c50ae52d0

Pith citing papers

Observation 1720360c-be05-4b3c-8acb-315ef8069e53 · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 252

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source=pdf_text observed=2026-08-07T10:17:47.141942Z digest=sha256:e64f20bb2559d26703c206215d655f10176cb0ea749d89a83b374741eba2a349

Observation 493cbbe6-407d-4264-9cb9-17e1b0a7a46d · inbound

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1 cites this paper.

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1 EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 22

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source=pdf_text observed=2026-08-06T13:07:28.375424Z digest=sha256:780f0653db5b4f10f42b2ef1e17df584e0366b4c3029b03fa4f5fcd0c1074315

Observation d0e91133-3db1-4960-854b-26a42633524b · inbound

MINT-Bench: A Comprehensive Multilingual Benchmark for Instruction-Following Text-to-Speech cites this paper.

MINT-Bench: A Comprehensive Multilingual Benchmark for Instruction-Following Text-to-Speech EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 24

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arxiv_id, observed 2026-05-10T04:04:47.233152Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:03:38.919545Z digest=sha256:d0dda2e50a9d755d51d50cc79a909dbb0ed3656f887dd2c552ed6c498eeb4f8e

Observation 47f0cad7-3779-472f-9023-bb7ba3939043 · inbound

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish cites this paper.

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 39

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arxiv_id, observed 2026-07-01T10:15:45.044627Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:38:16.224617Z digest=sha256:84bcb6c4075ff4533a0f519b54a985ffcc27f6a84a00aa6081f5cab8953b590c

Observation d07e2531-2480-4c73-9dc0-07dc61c8b4c1 · inbound

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish cites this paper.

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 40

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arxiv_id, observed 2026-07-03T21:58:58.317517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T21:56:41.303269Z digest=sha256:f9e123e862ea213a42aa0d0b7bed037d7f3a079d3ed01f07e4c0af402d6b3e1f

Observation 15e196c1-fbef-4c31-8ffd-053bb8c9b494 · inbound

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems cites this paper.

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 17

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source=pdf_text observed=2026-08-02T00:57:37.747884Z digest=sha256:eaec5b2e523596ce60e99d41a4bb0fdd090da9b9135561c0e03ab1d38cf4a7e4

Observation f71b31b5-6633-4897-8a5c-2ae7d83e2859 · inbound

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation cites this paper.

SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-10T04:20:42.015534Z

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source=arxiv_source observed=2026-08-10T04:20:42.015534Z digest=sha256:39f90a04a974bb2eeb182c8ed3fe6b43c5d7350213dd99ee3effacae4d3f0817