Paper Citation Record · LEDGER

Autoregressive Speech Enhancement via Acoustic Tokens

As of 17 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2507.12825.

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

pith.paper-citation-record.v1
2507.12825 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:25.045627Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:45:11.099531Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy45
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3df6dd21-9582-46bf-91f6-9737edb1dd06 · outbound

This paper cites MetricGAN-U: Unsupervised speech enhancement / dereverberation based only on noisy / reverberated speech,.

Autoregressive Speech Enhancement via Acoustic Tokens MetricGAN-U: Unsupervised speech enhancement / dereverberation based only on noisy / reverberated speech,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:32.193083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee931f9a-7cf5-40a5-aae5-9fafa6a6534b · outbound

This paper cites MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,.

Autoregressive Speech Enhancement via Acoustic Tokens MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.979967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 005efad6-f48e-4d49-9b48-891d41d0a537 · outbound

This paper cites MetricGAN+: An improved version of MetricGAN for speech enhancement,.

Autoregressive Speech Enhancement via Acoustic Tokens MetricGAN+: An improved version of MetricGAN for speech enhancement,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.700241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60630760-ea59-47eb-9775-ffe6c04d6464 · outbound

This paper cites Reinforcement learning based speech enhancement for robust speech recognition,.

Autoregressive Speech Enhancement via Acoustic Tokens Reinforcement learning based speech enhancement for robust speech recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.564883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7db48736-4f7e-4eb3-a339-8ae2c857983a · outbound

This paper cites MetaRL-SE: a few-shot speech enhancement method based on meta-reinforcement learning,.

Autoregressive Speech Enhancement via Acoustic Tokens MetaRL-SE: a few-shot speech enhancement method based on meta-reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.428773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a0c77a7-5317-4dba-a4b9-4d7921ce76c8 · outbound

This paper cites Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

Autoregressive Speech Enhancement via Acoustic Tokens Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.202572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ea95bef-9ff6-4e26-8b0f-5a5f0968521e · outbound

This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Autoregressive Speech Enhancement via Acoustic Tokens An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:31.092612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 813ca669-e79a-4edc-97a6-2eb96bcc5fda · outbound

This paper cites Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,.

Autoregressive Speech Enhancement via Acoustic Tokens Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.990140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b536600-b151-42c1-a9b7-737dea7d705a · outbound

This paper cites Attention is all you need in speech separation,.

Autoregressive Speech Enhancement via Acoustic Tokens Attention is all you need in speech separation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.872986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd7b1bf2-56d2-4d9a-a123-c6c596f8e5e7 · outbound

This paper cites Real time speech enhancement in the waveform domain,.

Autoregressive Speech Enhancement via Acoustic Tokens Real time speech enhancement in the waveform domain,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.679297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6489b662-1f5b-419b-9a0a-55a0e55e6e5a · outbound

This paper cites DNN-based enhancement of noisy and reverberant speech,.

Autoregressive Speech Enhancement via Acoustic Tokens DNN-based enhancement of noisy and reverberant speech,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.562523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1beafc15-0309-417f-b6da-3ad0d9dc3d3b · outbound

This paper cites Phasen: A phase-and-harmonics-aware speech enhancement network,.

Autoregressive Speech Enhancement via Acoustic Tokens Phasen: A phase-and-harmonics-aware speech enhancement network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.416171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f12fc1a-ab0c-4be1-bf41-f9e334877e9d · outbound

This paper cites Inter-SubNet: Speech enhancement with subband interaction,.

Autoregressive Speech Enhancement via Acoustic Tokens Inter-SubNet: Speech enhancement with subband interaction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.276332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 088a276e-0244-4d8d-a220-8b91476d8729 · outbound

This paper cites Speech enhancement with score- based generative models in the complex STFT domain,.

Autoregressive Speech Enhancement via Acoustic Tokens Speech enhancement with score- based generative models in the complex STFT domain,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:30.099067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5e1b7c46-5668-4312-9626-8d58d571b29d · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based generative models,.

Autoregressive Speech Enhancement via Acoustic Tokens Speech enhancement and dereverberation with diffusion-based generative models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.958000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8613889f-de51-4e65-9069-7964de0f0b66 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Autoregressive Speech Enhancement via Acoustic Tokens Gemini: A Family of Highly Capable Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:21.361135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1653c9ff-4f6d-4f06-9496-192d1dbb9766 · outbound

This paper cites AudioLM: A language modeling approach to audio generation,.

Autoregressive Speech Enhancement via Acoustic Tokens AudioLM: A language modeling approach to audio generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.818197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74a3577c-1780-4876-b29a-82e23297da18 · outbound

This paper cites Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers.

Autoregressive Speech Enhancement via Acoustic Tokens Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:21.629566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6671abdb-b415-4c7b-bd0b-a128cb41d808 · outbound

This paper cites AudioGen: Textually guided audio generation,.

Autoregressive Speech Enhancement via Acoustic Tokens AudioGen: Textually guided audio generation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.706948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9e1c638-9978-44cd-a597-733794d16616 · outbound

This paper cites Simple and controllable music generation,.

Autoregressive Speech Enhancement via Acoustic Tokens Simple and controllable music generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.481724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6938a232-7650-4d7a-ada5-1fe8f8a563f0 · outbound

This paper cites SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,.

Autoregressive Speech Enhancement via Acoustic Tokens SpeechGPT: Empowering large language models with intrinsic cross-modal conversational abilities,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.334844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58acb5af-7763-4fe8-8b7d-e28357526c51 · outbound

This paper cites Spirit LM: Interleaved Spoken and Written Language Model.

Autoregressive Speech Enhancement via Acoustic Tokens Spirit LM: Interleaved Spoken and Written Language Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:21.849466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b40a5bc-c4cd-4454-a726-dccb894137ab · outbound

This paper cites NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.

Autoregressive Speech Enhancement via Acoustic Tokens NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:21.923372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30664f26-4e77-4c0e-ad97-2d57f991eedc · outbound

This paper cites CLam-TTS: Improving neural codec language model for zero-shot text-to-speech,.

Autoregressive Speech Enhancement via Acoustic Tokens CLam-TTS: Improving neural codec language model for zero-shot text-to-speech,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.225692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 142d4ed3-afa1-4be5-afaa-cd65ff7d8a71 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Autoregressive Speech Enhancement via Acoustic Tokens wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:29.163173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6407d33-1e40-4609-8f85-a7910f2b5d29 · outbound

This paper cites HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,.

Autoregressive Speech Enhancement via Acoustic Tokens HuBERT: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.929929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04558e90-fab5-4888-abe5-73419709325b · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing,.

Autoregressive Speech Enhancement via Acoustic Tokens WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.740936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3310284-c3fd-4705-a638-f3d2805089ba · outbound

This paper cites Exploring speech recognition, translation, and under- standing with discrete speech units: A comparative study,.

Autoregressive Speech Enhancement via Acoustic Tokens Exploring speech recognition, translation, and under- standing with discrete speech units: A comparative study,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.553359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0efe4163-83cf-4165-bc53-079781c11db9 · outbound

This paper cites Towards universal speech discrete tokens: A case study for ASR and TTS,.

Autoregressive Speech Enhancement via Acoustic Tokens Towards universal speech discrete tokens: A case study for ASR and TTS,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.431139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac1b52f1-1ba6-4305-a834-3d58ea481eda · outbound

This paper cites High fidelity neural audio compression,.

Autoregressive Speech Enhancement via Acoustic Tokens High fidelity neural audio compression,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.306150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 648f0fb9-bcf4-496d-a021-a8bf03a59e6e · outbound

This paper cites High- fidelity audio compression with improved RVQGAN,.

Autoregressive Speech Enhancement via Acoustic Tokens High- fidelity audio compression with improved RVQGAN,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.189956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fde69f3-fc30-4f7c-953f-f07cc1853b7e · outbound

This paper cites FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec.

Autoregressive Speech Enhancement via Acoustic Tokens FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:22.474153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46c1d72-99e2-425d-b195-235d3ac823e7 · outbound

This paper cites HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec.

Autoregressive Speech Enhancement via Acoustic Tokens HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:22.610257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6287e80-8a80-45e9-a36a-58b36e9745e7 · outbound

This paper cites Language-Codec: Bridging Discrete Codec Representations and Speech Language Models.

Autoregressive Speech Enhancement via Acoustic Tokens Language-Codec: Bridging Discrete Codec Representations and Speech Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:22.680479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e1b8e5-0b0f-4ef6-9b04-5cb955d3283e · outbound

This paper cites WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling.

Autoregressive Speech Enhancement via Acoustic Tokens WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:22.809284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5088cbb3-8115-47fa-81c7-5b20b0b4bde4 · outbound

This paper cites Neural discrete representation learning,.

Autoregressive Speech Enhancement via Acoustic Tokens Neural discrete representation learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:28.056386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32b045db-4410-4c02-885d-2dceb1137dbf · outbound

This paper cites SoundStream: An end-to-end neural audio codec,.

Autoregressive Speech Enhancement via Acoustic Tokens SoundStream: An end-to-end neural audio codec,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.947347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c837355-3f63-45e6-b395-7b1c9bb237a2 · outbound

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

Autoregressive Speech Enhancement via Acoustic Tokens A comparison of discrete and soft speech units for improved voice conversion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.817479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7df2ad59-42a6-45e9-9d04-283b68429eb7 · outbound

This paper cites SpeechTokenizer: Unified speech tokenizer for speech large language models,.

Autoregressive Speech Enhancement via Acoustic Tokens SpeechTokenizer: Unified speech tokenizer for speech large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.678992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c8dbc01-1263-41de-a261-203542644dbe · outbound

This paper cites SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound.

Autoregressive Speech Enhancement via Acoustic Tokens SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:23.288503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b179fc50-6f9e-4b7e-8524-9e973e431d4e · outbound

This paper cites SELM: Speech enhancement using discrete tokens and language models,.

Autoregressive Speech Enhancement via Acoustic Tokens SELM: Speech enhancement using discrete tokens and language models,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.544450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93279da3-1f33-439e-bd5f-b487e7530aef · outbound

This paper cites How should we extract discrete audio tokens from self-supervised models?.

Autoregressive Speech Enhancement via Acoustic Tokens How should we extract discrete audio tokens from self-supervised models?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.406429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3973daa-5f47-466c-8a08-417f7c839954 · outbound

This paper cites DASB - Discrete Audio and Speech Benchmark.

Autoregressive Speech Enhancement via Acoustic Tokens DASB - Discrete Audio and Speech Benchmark

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:23.555526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6d836e-7b72-45b4-b9f3-74c4a0ef9553 · outbound

This paper cites Sequence transduction with recurrent neural networks,.

Autoregressive Speech Enhancement via Acoustic Tokens Sequence transduction with recurrent neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.245159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b93cfe80-addc-44da-a5b2-a5873cf1277f · outbound

This paper cites Exposure bias versus self- recovery: Are distortions really incremental for autoregressive text generation?.

Autoregressive Speech Enhancement via Acoustic Tokens Exposure bias versus self- recovery: Are distortions really incremental for autoregressive text generation?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:27.069845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aca6d0c1-f1dc-4216-b1ba-07e213de2718 · outbound

This paper cites Attention is all you need,.

Autoregressive Speech Enhancement via Acoustic Tokens Attention is all you need,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:26.855278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7884187-b14d-4804-bf43-66b8232a332c · outbound

This paper cites Investi- gating RNN-based speech enhancement methods for noise-robust text-to- speech,.

Autoregressive Speech Enhancement via Acoustic Tokens Investi- gating RNN-based speech enhancement methods for noise-robust text-to- speech,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:26.685195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 203a6940-1875-4995-8852-f38d58673943 · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Autoregressive Speech Enhancement via Acoustic Tokens LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.033479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 299f3b0b-663c-4dff-85fb-05c235bb2da1 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Autoregressive Speech Enhancement via Acoustic Tokens Librispeech: An ASR corpus based on public domain audio books,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:26.479563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e1eed3b-10b3-4688-8958-3a9591133d2c · outbound

This paper cites WHAM!: Extending speech separation to noisy environments,.

Autoregressive Speech Enhancement via Acoustic Tokens WHAM!: Extending speech separation to noisy environments,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:26.303021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b2c4a59-bc6d-40f7-8ffb-889dc66184bc · outbound

This paper cites Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis.

Autoregressive Speech Enhancement via Acoustic Tokens Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.295671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87fa2057-4541-4db6-b3fd-b883b847fb1b · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Autoregressive Speech Enhancement via Acoustic Tokens Conformer: Convolution-augmented transformer for speech recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:26.099361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e90ddab-b579-488a-ad0d-45d1b734b7aa · outbound

This paper cites HiFi-GAN: generative adversarial networks for efficient and high fidelity speech synthesis,.

Autoregressive Speech Enhancement via Acoustic Tokens HiFi-GAN: generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:25.942088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed1acbb9-c6b4-4e15-bc91-36390d02c712 · outbound

This paper cites SDR–half-baked or well done?.

Autoregressive Speech Enhancement via Acoustic Tokens SDR–half-baked or well done?

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:25.773788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe0fb2b9-cd79-4037-a7af-6da541f5cfeb · outbound

This paper cites DNSMOS P.835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

Autoregressive Speech Enhancement via Acoustic Tokens DNSMOS P.835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:25.606167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1429f09-8f54-45c4-a2ce-c34d2ddece51 · outbound

This paper cites Sequential multi-frame neural beamforming for speech separation and enhancement,.

Autoregressive Speech Enhancement via Acoustic Tokens Sequential multi-frame neural beamforming for speech separation and enhancement,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:25.475436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42d7cc22-0da8-414d-a31f-95b64b67886d · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Autoregressive Speech Enhancement via Acoustic Tokens Robust Speech Recognition via Large-Scale Weak Supervision

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.784828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90afd037-2529-483c-901a-2a3dbe73b7c4 · outbound

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

Autoregressive Speech Enhancement via Acoustic Tokens SpeechBrain: A General-Purpose Speech Toolkit

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.873492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73f1af6-a726-4f01-86c1-b4ed3f9564ad · outbound

This paper cites Open-Source Conversational AI with SpeechBrain 1.0.

Autoregressive Speech Enhancement via Acoustic Tokens Open-Source Conversational AI with SpeechBrain 1.0

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.944577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f5479f-9a8e-4cdd-b413-54133d9853df · outbound

This paper cites TokenSplit: Using discrete speech representations for direct, refined, and transcript-conditioned speech separation and recognition,.

Autoregressive Speech Enhancement via Acoustic Tokens TokenSplit: Using discrete speech representations for direct, refined, and transcript-conditioned speech separation and recognition,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:25.324407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 99f1c4fc-b32d-42bc-8a36-6960e5ecc296 · inbound

Absorbing Discrete Diffusion for Speech Enhancement cites this paper.

Absorbing Discrete Diffusion for Speech Enhancement Autoregressive Speech Enhancement via Acoustic Tokens

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T20:45:11.099531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.