Paper Citation Record · LEDGER

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.13830.

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

pith.paper-citation-record.v1
2505.13830 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:39.607461Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:38.532126Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:13:39.810588Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy18
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11ac647f-9715-4978-b68b-57a4fea06ce3 · outbound

This paper cites Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:13:39.861437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b80826e-9048-4861-9aec-208d1ba7eede · outbound

This paper cites an unresolved cited work.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:13:42.084501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation feb05a2a-cff2-4a75-b94c-5eefa0275a38 · outbound

This paper cites test-clean.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising test-clean

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:13:41.954145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6911bc3-06f0-415a-ad86-9c7557b27fc4 · outbound

This paper cites Results on the SE Task The experimental results of the SE task are depicted in Table 1.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Results on the SE Task The experimental results of the SE task are depicted in Table 1

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.936561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22417709-1572-4dc5-b629-323a8ff6f29c · outbound

This paper cites an unresolved cited work.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:13:41.922978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66558212-18d3-468a-a8ac-7100eafd866c · outbound

This paper cites an unresolved cited work.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:13:41.777231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3401682a-308f-458d-b9fc-1aab736cea83 · outbound

This paper cites SC- GlowTTS: An efficient zero-shot multi-speaker text-to-speech model,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising SC- GlowTTS: An efficient zero-shot multi-speaker text-to-speech model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.763892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb82a1f2-caa9-435c-b770-2f73e0a7ceb4 · outbound

This paper cites YourTTS: Towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising YourTTS: Towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.563038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9b7482a-1a4b-46fd-8f6c-ae2b08c7777e · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:38.826696Z

Source-reported events for the cited work

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Observation 454251e3-9fde-4541-94bc-08c0f9dd0653 · outbound

This paper cites LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:38.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe6f008-8216-48b7-b7a4-935f798086e2 · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:38.838495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6de707-3adf-4b42-ba1b-35a60b18c54f · outbound

This paper cites Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.545219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9688efe-f419-49e2-b07f-1d280000390f · outbound

This paper cites DINO-VITS: Data-efficient zero-shot TTS with self-supervised speaker verification loss for noise robustness,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising DINO-VITS: Data-efficient zero-shot TTS with self-supervised speaker verification loss for noise robustness,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.390470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc40834c-4148-47b7-b8b1-13584269fd37 · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Soundstream: An end-to-end neural audio codec,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:38.968701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ab1410-0dd8-481a-8d2d-68c3c75aa5b1 · outbound

This paper cites High fidelity neural audio compression,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising High fidelity neural audio compression,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:38.973133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e6bd88a-6c93-43ef-a478-d55556d1499e · outbound

This paper cites Speech enhancement for a noise-robust text-to-speech synthesis system using deep recurrent neural networks,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Speech enhancement for a noise-robust text-to-speech synthesis system using deep recurrent neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.232697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b906595a-65a9-43ee-a557-857a60ead4e8 · outbound

This paper cites In- vestigating RNN-based speech enhancement methods for noise- robust text-to-speech.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising In- vestigating RNN-based speech enhancement methods for noise- robust text-to-speech

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.217151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13d149d5-1f59-46cf-a094-c33ad902a214 · outbound

This paper cites Speech enhancement of noisy and reverberant speech for text-to-speech,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Speech enhancement of noisy and reverberant speech for text-to-speech,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.080875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b89aaa-44bb-44b9-bc8c-dda3fdecfb1a · outbound

This paper cites CMGAN: Conformer-based metric GAN for speech enhancement,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising CMGAN: Conformer-based metric GAN for speech enhancement,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:41.036770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58d45b65-5e73-45d9-83b0-71dae2454e83 · outbound

This paper cites MP-SENet: A speech enhance- ment model with parallel denoising of magnitude and phase spec- tra,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising MP-SENet: A speech enhance- ment model with parallel denoising of magnitude and phase spec- tra,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.174038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e4b9bc-138e-4554-81e6-2fb417b58938 · outbound

This paper cites Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.179642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b830e6f0-160d-4d3e-9c96-9cbd8562cc3e · outbound

This paper cites How bad are artifacts?: Analyzing the impact of speech enhancement errors on asr,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising How bad are artifacts?: Analyzing the impact of speech enhancement errors on asr,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.954648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35648f70-bc85-4abd-94a6-e372996f7b23 · outbound

This paper cites Learning to enhance or not: Neural network-based switching of enhanced and observed signals for overlapping speech recognition,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Learning to enhance or not: Neural network-based switching of enhanced and observed signals for overlapping speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.936615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97310fe5-b2df-467e-a998-d22a8331a971 · outbound

This paper cites MaskSR: Masked language model for full-band speech restoration,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising MaskSR: Masked language model for full-band speech restoration,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.789159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5610c87-4830-4d94-b8d6-4e4700e4792f · outbound

This paper cites Genhancer: High-fidelity speech enhancement via generative modeling on discrete codec tokens,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Genhancer: High-fidelity speech enhancement via generative modeling on discrete codec tokens,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.700564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c31c52d-8cd5-44a6-8232-07df5b76f1e7 · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Conformer: Convolution- augmented transformer for speech recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.411914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641ae334-2fa5-432c-96be-898269449cb8 · outbound

This paper cites Libri-light: A benchmark for ASR with limited or no su- pervision,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Libri-light: A benchmark for ASR with limited or no su- pervision,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.452978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0331fb86-d538-40b6-a262-aa8ceb5b1522 · outbound

This paper cites Libritts-R: A re- stored multi-speaker text-to-speech corpus,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Libritts-R: A re- stored multi-speaker text-to-speech corpus,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.376600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58bce156-fac7-4e6e-a667-cdd5be0f37c7 · outbound

This paper cites ICASSP 2022 deep noise suppression challenge,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising ICASSP 2022 deep noise suppression challenge,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.252562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a926939-69ef-4435-b1d4-26aa4d68dd48 · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising WHAM!: Extending speech separation to noisy environments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.522549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2230fb9d-8ceb-4a9e-ae7c-7b1931142e72 · outbound

This paper cites Funcodec: A funda- mental, reproducible and integrable open-source toolkit for neural speech codec,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Funcodec: A funda- mental, reproducible and integrable open-source toolkit for neural speech codec,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.085276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71c84f2d-f8ff-448d-8c64-94370965e47a · outbound

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

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising DNSMOS P. 835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:40.032580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 333dc2ec-c886-4e54-9aae-7217e75e9cd8 · outbound

This paper cites Resemblyzer,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Resemblyzer,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:13:39.945098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a51c3af-107e-4fc5-b781-72f737449b7b · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Robust speech recognition via large-scale weak su- pervision,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:39.607461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 11ac647f-9715-4978-b68b-57a4fea06ce3 · inbound