Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis | Paper Citation Record

Observation fbd3ef56-0b7a-4d69-8241-d50fb04b296f · outbound

This paper cites Virtual chara cters are expected to possess unique identities that remain consi stent across time.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Virtual chara cters are expected to possess unique identities that remain consi stent across time

Reference 1

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Observation 517abf04-5934-49ef-95b2-e23ab2515c83 · outbound

This paper cites Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis

Reference 2

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This paper cites We explore which mark- ers are represented in some widely used ASV embeddings, and measure the effect of confounding factors.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis We explore which mark- ers are represented in some widely used ASV embeddings, and measure the effect of confounding factors

Reference 3

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This paper cites This reﬂects the lower bound of our metric, where we expect the smallest distances.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis This reﬂects the lower bound of our metric, where we expect the smallest distances

Reference 4

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Observation 8bbfef3e-0a69-429e-9162-8340ecfa3475 · outbound

This paper cites This setting tests wh ether our metric can distinguish between speakers undistinguish - able with speech rate.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis This setting tests wh ether our metric can distinguish between speakers undistinguish - able with speech rate

Reference 5

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Observation 89f98804-a7b9-49a1-99e0-d0bacc9f6e2c · outbound

This paper cites The results in the top section of Table 3 show that rhythm distances are signiﬁcantly larger between different speak ers, even those with similar speech rates.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The results in the top section of Table 3 show that rhythm distances are signiﬁcantly larger between different speak ers, even those with similar speech rates

Reference 6

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Observation 0ec6aae4-9475-4471-a80b-ff699a3f4477 · outbound

This paper cites We showed that ASV embeddings mainly encode speech identity markers relating to anatomy (e.g.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis We showed that ASV embeddings mainly encode speech identity markers relating to anatomy (e.g

Reference 7

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This paper cites An image is worth one word: Personalizing t ext-to- image generation using textual inversion,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis An image is worth one word: Personalizing t ext-to- image generation using textual inversion,

Reference 8

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Observation 932e5017-ad30-4164-a120-a6d46a36daa7 · outbound

This paper cites Dreambooth: Fine tuning text-to-image d iffusion models for subject-driven generation,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Dreambooth: Fine tuning text-to-image d iffusion models for subject-driven generation,

Reference 9

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Observation 0c62ff45-0144-4f18-aa42-7e8b96b9b4f1 · outbound

This paper cites ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

Reference 10

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Observation c89f5a9f-9e70-4ff9-a821-38f5722804a4 · outbound

This paper cites CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:11.744848Z

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Observation 5d17b08b-2cef-42f0-b20c-065a1b807fe3 · outbound

This paper cites Generat ing video game scripts with style,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Generat ing video game scripts with style,

Reference 12

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Observation 988925a3-6791-4cc9-b3ea-6d3176cae942 · outbound

This paper cites Meet your favorite character: Open-domai n chat- bot mimicking ﬁctional characters with only a few utterance s,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Meet your favorite character: Open-domai n chat- bot mimicking ﬁctional characters with only a few utterance s,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.351960Z

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This paper cites Information conveyed by vow- els.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Information conveyed by vow- els

Reference 14

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Observation d6d6a64a-a140-4335-95bd-c7a4a8d02172 · outbound

This paper cites The perception of personal iden tity in speech: Evidence from the perception of twins’ speech,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The perception of personal iden tity in speech: Evidence from the perception of twins’ speech,

Reference 15

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Observation e7c45ab1-d99e-4c5a-812e-3435e2d3b198 · outbound

This paper cites X-V ectors: Robust DNN embeddings for speaker recognition,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis X-V ectors: Robust DNN embeddings for speaker recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.806842Z

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Observation f7af280c-6e79-496f-a69c-c5d8babb5c99 · outbound

This paper cites ECAPA - TDNN: emphasized channel attention, propagation and aggre ga- tion in TDNN based speaker veriﬁcation,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis ECAPA - TDNN: emphasized channel attention, propagation and aggre ga- tion in TDNN based speaker veriﬁcation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.629537Z

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Observation cc153765-41c9-49ce-b995-37e9c0f1de4d · outbound

This paper cites State-of-the-art speaker recogni tion with neural network embeddings in NIST SRE18 and speakers in the wild evaluations,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis State-of-the-art speaker recogni tion with neural network embeddings in NIST SRE18 and speakers in the wild evaluations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.482722Z

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Observation cb4977ac-8be1-44ea-ac18-7e54da19fefd · outbound

This paper cites Generalized end-to-end loss for speaker veriﬁca- tion,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Generalized end-to-end loss for speaker veriﬁca- tion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.302718Z

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Observation b5ee12e4-44fe-4f82-9642-408fa023c43c · outbound

This paper cites We need variations in speech synthe- sis: Sub-center modelling for speaker embeddings,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis We need variations in speech synthe- sis: Sub-center modelling for speaker embeddings,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:40:17.374269Z

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Observation 7f5eebdb-5db5-4fd2-87f8-7537d1edc768 · outbound

This paper cites Predictions of subjective ratings and spooﬁng as- sessments of V oice Conversion Challenge 2020 submissions,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Predictions of subjective ratings and spooﬁng as- sessments of V oice Conversion Challenge 2020 submissions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.121033Z

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Observation b0d89eba-6eef-4933-97ed-e2d568c16f86 · outbound

This paper cites Transfer learning from speaker veriﬁcat ion to multi- speaker text-to-speech synthesis,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Transfer learning from speaker veriﬁcat ion to multi- speaker text-to-speech synthesis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.902006Z

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Observation d59ce44c-d9f4-412b-bedd-6b5094c18c70 · outbound

This paper cites Zero-shot multi-speaker text-to-sp eech with state-of-the-art neural speaker embeddings,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Zero-shot multi-speaker text-to-sp eech with state-of-the-art neural speaker embeddings,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.728737Z

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Observation 38425e51-2504-4a84-874e-c042e926c1d6 · outbound

This paper cites Y ourTTS: towards zero-shot multi- speaker tts and zero-shot voice conversion for everyone,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Y ourTTS: towards zero-shot multi- speaker tts and zero-shot voice conversion for everyone,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.600183Z

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Observation 1cb6588a-a323-4f5c-b318-afc26a02eae4 · outbound

This paper cites Investigating on incorporating pret rained and learnable speaker representations for multi-speaker mult i-style text-to-speech,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Investigating on incorporating pret rained and learnable speaker representations for multi-speaker mult i-style text-to-speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.420748Z

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Observation e3bf7555-52cb-4bf9-bd88-e292621223c0 · outbound

This paper cites Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance

Reference 26

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Observation 01a602c7-7a3a-4992-bcca-2d20ea94f10d · outbound

This paper cites The Multi-Speaker Multi-Style V oice Clo ning Chal- lenge 2021,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The Multi-Speaker Multi-Style V oice Clo ning Chal- lenge 2021,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.237363Z

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Observation 4857260a-648a-4d2c-80a3-34fd08fb25de · outbound

This paper cites VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:13.209463Z

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Observation fc46cf74-cdd9-420c-b7f8-d04b70d048b7 · outbound

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

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Evaluating text-to-speech synthesis from a large discrete token-based speech language model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.020012Z

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Observation f6e68c49-0f0f-4721-b3a1-898330ee7271 · outbound

This paper cites A comparison of discrete and soft speech units for improved voice conversion,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis A comparison of discrete and soft speech units for improved voice conversion,

Reference 30

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Observation 9fdce733-cd03-4761-b18d-ef7f05f91428 · outbound

This paper cites V oicebox: Text-guided multilingual univ ersal speech generation at scale,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis V oicebox: Text-guided multilingual univ ersal speech generation at scale,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.864555Z

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Observation 67b8fbcc-5f6d-447d-bf18-4f153dc8ce3d · outbound

This paper cites Neural codec language models are zero-s hot text to speech synthesizers,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Neural codec language models are zero-s hot text to speech synthesizers,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.567138Z

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Observation fc5d7913-3f76-4168-90e3-16b024875a87 · outbound

This paper cites The Singing V oice Conversion Chall enge 2023,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The Singing V oice Conversion Chall enge 2023,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.362172Z

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Observation f3ef1777-0b8f-4ab0-9ddc-4580ee3c651c · outbound

This paper cites Generative Data Augmentation Challe nge: Zero- shot speech synthesis for personalized speech enhancement ,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Generative Data Augmentation Challe nge: Zero- shot speech synthesis for personalized speech enhancement ,

Reference 34

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This paper cites Acoustic properties of voice timbre t ypes and their inﬂuence on voice classiﬁcation,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Acoustic properties of voice timbre t ypes and their inﬂuence on voice classiﬁcation,

Reference 35

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Observation 5c79d98a-4962-4f10-802e-f487f2340f69 · outbound

This paper cites Speech production patterns in producing l inguis- tic contrasts are partly determined by individual differen ces in anatomy,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Speech production patterns in producing l inguis- tic contrasts are partly determined by individual differen ces in anatomy,

Reference 36

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This paper cites an unresolved cited work.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:40:23.460801Z

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Observation cae77f0c-21b8-4b0b-8ad9-32e71334c683 · outbound

This paper cites A study of rhythm in London: Is syllable-timing a feature of Multicultural London English ?.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis A study of rhythm in London: Is syllable-timing a feature of Multicultural London English ?

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.289528Z

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Observation af5d4057-27d1-48f6-961b-011f8958c4ba · outbound

This paper cites The measurement of rhythm: a comparison of Sin- gapore and British English,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The measurement of rhythm: a comparison of Sin- gapore and British English,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.067362Z

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This paper cites Sociophonetics of phonotactic pheno mena in french,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Sociophonetics of phonotactic pheno mena in french,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.807797Z

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Observation 4d90a904-75f6-4cf3-8437-f4ba2f576871 · outbound

This paper cites Individual di fferences in vowel production,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Individual di fferences in vowel production,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.620821Z

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Observation 13627fac-ceff-4ca7-9de0-37f89d1c47df · outbound

This paper cites Individual differences in speech pro- duction: V oice-onset-time,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Individual differences in speech pro- duction: V oice-onset-time,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.428908Z

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Observation 6c2ed39d-60f7-4358-bb49-930065f56271 · outbound

This paper cites The social life of phonetic s and phonology,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The social life of phonetic s and phonology,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.226893Z

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Observation a0a78c3e-a471-4b32-9051-7867fd9eefd9 · outbound

This paper cites Prosodic rhythm and Afric an American english,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Prosodic rhythm and Afric an American english,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.055134Z

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Observation dd9e3107-7a7a-413a-82ef-74ec4916a3e9 · outbound

This paper cites La liaison sans enchaˆ ınement,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis La liaison sans enchaˆ ınement,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.865653Z

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Observation f7e19809-8f4a-47d6-b320-721f6b2d4a4b · outbound

This paper cites Stuart-Smith, E.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Stuart-Smith, E

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.707914Z

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Observation f2fee590-4f65-4a33-85bb-bb5f1f5ae99f · outbound

This paper cites The Blizzard Challenge 2023,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The Blizzard Challenge 2023,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.492072Z

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Observation 7c04876d-3c13-4c25-8171-85a9405c39fb · outbound

This paper cites Reﬁning the evaluation of speech synthesis: A summ ary of the blizzard challenge 2023,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Reﬁning the evaluation of speech synthesis: A summ ary of the blizzard challenge 2023,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.310864Z

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Observation 457a1f57-16e9-4294-83bd-5d1340707f4c · outbound

This paper cites Good practices for evaluation of synthesized speech,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Good practices for evaluation of synthesized speech,

Reference 49

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Observation a8594ffb-9d77-4924-a681-932f2c5a1c65 · outbound

This paper cites Stuck in the MOS pit: A critical anal ysis of MOS test methodology in TTS evaluation,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Stuck in the MOS pit: A critical anal ysis of MOS test methodology in TTS evaluation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.155580Z

Source-reported events for the cited work

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Observation bf0a2f81-a772-4739-9fd1-56a402a46427 · outbound

This paper cites Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:40:16.930605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26572b08-138c-4f2f-8822-ccf26c78472f · outbound

This paper cites MOS vs . AB: evaluating text-to-speech systems reliably using cluster ed stan- dard errors,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis MOS vs . AB: evaluating text-to-speech systems reliably using cluster ed stan- dard errors,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:21.015992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 422c058a-9164-4776-a0b1-ed510877abc7 · outbound

This paper cites V oxSim: A perceptual voice similarity da taset,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis V oxSim: A perceptual voice similarity da taset,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.835953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7fd25d3-fd91-4c7c-832e-14a34f7cd461 · outbound

This paper cites Salmon: A suite for acous tic language model evaluation,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Salmon: A suite for acous tic language model evaluation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.663293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82dfec55-c787-4bd5-b723-5017a25bfc68 · outbound

This paper cites Automatic evaluation of speaker simila rity,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Automatic evaluation of speaker simila rity,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.472116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36a86cc9-028d-4d05-b97d-d2dfadd18548 · outbound

This paper cites SVSNet: An end-to-end speaker voice simi larity assessment model,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis SVSNet: An end-to-end speaker voice simi larity assessment model,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.297397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 502ce3f8-0886-4a72-9e6a-87181406f5a4 · outbound

This paper cites The V oxCeleb Speaker Recognition Challe nge: a retrospective,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The V oxCeleb Speaker Recognition Challe nge: a retrospective,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:20.152485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d98022c9-0b21-4b97-a133-f6480c3df776 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis SpeechBrain: A General-Purpose Speech Toolkit

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:15.310440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2034870-5e78-47c0-8f37-9038336a86b6 · outbound

This paper cites WavLM: large-scale self-supervised pr e-training for full stack speech processing,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis WavLM: large-scale self-supervised pr e-training for full stack speech processing,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.995774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65b8ea99-700f-4336-a54f-b31272b74d15 · outbound

This paper cites The CMU Arctic speech databa ses,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis The CMU Arctic speech databa ses,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.842760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 56a9ff04-0491-43ae-bee3-ac8a523caf54 · outbound

This paper cites L2-ARCTIC: a non-native english speech c orpus,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis L2-ARCTIC: a non-native english speech c orpus,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.681892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33f54206-915c-4f9a-b19d-ddd85c8d66db · outbound

This paper cites Lib- riSpeech: an ASR corpus based on public domain audio books,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Lib- riSpeech: an ASR corpus based on public domain audio books,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.533289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e75cb6d1-b3e3-4a99-93e8-8046229d5370 · outbound

This paper cites Analysis of fun- damental frequency, jitter, shimmer and vocal intensity in chil- dren with phonological disorders,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Analysis of fun- damental frequency, jitter, shimmer and vocal intensity in chil- dren with phonological disorders,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.376682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af70a177-120a-4554-bcd0-0fe20b521ab6 · outbound

This paper cites V ocal acoust ic analy- sis – jitter, shimmer and HNR parameters,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis V ocal acoust ic analy- sis – jitter, shimmer and HNR parameters,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.199832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d80aa272-c9b8-486a-88f8-28b67beccaef · outbound

This paper cites V ariation of the acoustic parameters: f0, jitter, shimmer and alpha ratio in relation with different background noise levels,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis V ariation of the acoustic parameters: f0, jitter, shimmer and alpha ratio in relation with different background noise levels,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:19.053593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6bc0d3b7-7283-4f48-948d-5ea32a83db7b · outbound

This paper cites Rhyth m modeling for voice conversion,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Rhyth m modeling for voice conversion,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.800943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f993c02a-30c5-4bb9-832e-82ceaf2ffa39 · outbound

This paper cites Opensmile: the munich versatile and fast open-source audio feature extractor,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis Opensmile: the munich versatile and fast open-source audio feature extractor,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.468730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35d8cdf7-a228-477d-8e01-9ae7453031b1 · outbound

This paper cites ASRRL-TTS: Agile Speaker Representation Reinforcement Learning for Text-to-Speech Speaker Adaptation.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis ASRRL-TTS: Agile Speaker Representation Reinforcement Learning for Text-to-Speech Speaker Adaptation

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:40:16.704034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd0d3d8b-c6c7-42cb-afba-aeecf2eaf8f8 · outbound

This paper cites All about audio equalization: Solu- tions and frontiers,.

Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis All about audio equalization: Solu- tions and frontiers,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:18.192615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers