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Paper Citation Record · LEDGER

Neural Vocoders as Speech Enhancers

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2501.13465.

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

pith.paper-citation-record.v1
2501.13465 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:59:21.187694Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:26:14.455424Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:26:14.665558Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50155a97-1f65-4130-bc0b-585f06fe892b · outbound

This paper cites Tacotron: Towards End- to-End Speech Synthesis,.

Neural Vocoders as Speech Enhancers Tacotron: Towards End- to-End Speech Synthesis,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.899071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.012497Z digest=sha256:70d20aa4a965dac9aa2e8f36897225a02401eb2ef8e5d6aa0b0f514a47a012bc

Observation 9641153f-a24c-4db8-8a19-488f0a1e1d36 · outbound

This paper cites Naturalspeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers,.

Neural Vocoders as Speech Enhancers Naturalspeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.884553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.017287Z digest=sha256:3dfd271d5969b661ac0935e3d19e878722c38e8e961c6b4b69e596f80137e34a

Observation 4cae6b1a-aceb-4419-9e4e-715fd046e7b6 · outbound

This paper cites Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions,.

Neural Vocoders as Speech Enhancers Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.870198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.021720Z digest=sha256:23189ea60cef043662da524fae35a93924b577c6c5955c3a99df9aabb1870e37

Observation fa2e99e3-c5b0-481b-8d65-5d64ab32c365 · outbound

This paper cites Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.

Neural Vocoders as Speech Enhancers Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.026366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.026366Z digest=sha256:fce25e47f23d5360d594c354a0b6c8523038f3c49f03800c04a44acfb7921e47

Observation a0e9c67a-7a5f-4146-bd1a-b4486a43fb32 · outbound

This paper cites Audit: Audio editing by following instructions with latent diffusion models,.

Neural Vocoders as Speech Enhancers Audit: Audio editing by following instructions with latent diffusion models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.856694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.031198Z digest=sha256:0e92fde780fadb6a7d7320886c91e9f3a916d26460fbd8fab8691f311d861566

Observation 5dc0b2d6-4012-46a5-bbe2-e65dabe9e93f · outbound

This paper cites V oicefixer: Toward general speech restoration with neural vocoder,.

Neural Vocoders as Speech Enhancers V oicefixer: Toward general speech restoration with neural vocoder,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.842545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.036549Z digest=sha256:200c4adaf5ffc5203a846366be2ce5486ee367d3b61f7160b47307727876bf5b

Observation 8176fbe7-d7d8-4e38-8d29-e512dccc5614 · outbound

This paper cites Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR.

Neural Vocoders as Speech Enhancers Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Reference 7

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unresolved
no resolver link, observed 2026-08-10T15:59:21.041151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.041151Z digest=sha256:6cc47a57c4565308e42c7380c84a54b4b41161dac97d5b104f91d3c4918db71c

Observation 18582bdb-2f48-44fc-9078-8e3f6501fe95 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Neural Vocoders as Speech Enhancers WaveNet: A Generative Model for Raw Audio

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.046334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.046334Z digest=sha256:8fda65ab2d99422b0faedad4a26ba9a51ba027c1a859381d62ff9016f0a3a131

Observation 47be0e05-e25d-495e-8805-3b262ae0c533 · outbound

This paper cites SampleRNN: An Unconditional End-to- End Neural Audio Generation Model,.

Neural Vocoders as Speech Enhancers SampleRNN: An Unconditional End-to- End Neural Audio Generation Model,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.828162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.051193Z digest=sha256:50de1ca4192f651509027cf624a9c52737e135df505169e05d3d2a5678de245b

Observation 2d54026a-825d-4114-aeb5-38b2557aa627 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Neural Vocoders as Speech Enhancers Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.811940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.055510Z digest=sha256:8df6c9c62a34204eb6870574221b2be0d31a5dfb99b7dbbc2be43169f1020dc1

Observation c67f2daa-de5d-4609-8852-60ece6565016 · outbound

This paper cites iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating inverse short-time Fourier transform,.

Neural Vocoders as Speech Enhancers iSTFTNet: Fast and lightweight mel-spectrogram vocoder incorporating inverse short-time Fourier transform,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.796963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.059647Z digest=sha256:f1393c946bc006595f6f23e3183ea095a3c31402a1be8a34ab2543596c205f97

Observation d007f8bd-e0f6-46c2-89e8-d38e634ef73e · outbound

This paper cites APNet: An all-frame-level neural vocoder incor- porating direct prediction of amplitude and phase spectra,.

Neural Vocoders as Speech Enhancers APNet: An all-frame-level neural vocoder incor- porating direct prediction of amplitude and phase spectra,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.783048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.063815Z digest=sha256:0b454021b827de6d358dc7eee5fd18d1b8b3067e0b62e59e6b4479188da75b48

Observation 50b1ac9b-8551-451f-a989-21a903c92490 · outbound

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

Neural Vocoders as Speech Enhancers V ocos: Closing the gap between time-domain and Fourier- based neural vocoders for high-quality audio synthesis,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.770094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.067920Z digest=sha256:678997a1f98e59976446948bdec8df6d0f3d0e368ba595080b651bd76bdd3910

Observation 4e31c8fd-e0fc-49c8-a39b-345ce45fcac7 · outbound

This paper cites APNet2: High-Quality and High-Efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra,.

Neural Vocoders as Speech Enhancers APNet2: High-Quality and High-Efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.755334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.072366Z digest=sha256:fff203d93c6174ce450cf79323bfd324680b4cc5d70a590b498ac1f0601baf00

Observation ab271f4e-3348-44b9-8e85-9f87715b70ad · outbound

This paper cites FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter.

Neural Vocoders as Speech Enhancers FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.076701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.076701Z digest=sha256:2e394bbfe32ebb52c973a945f619d420b405a627468406007c55a68e85044997

Observation e6ca9a22-90c2-4f04-a719-f60a5940126a · outbound

This paper cites Speech dereverberation using non- negative convolutive transfer function and spectro-temporal modeling,.

Neural Vocoders as Speech Enhancers Speech dereverberation using non- negative convolutive transfer function and spectro-temporal modeling,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.740376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.081100Z digest=sha256:f7d3df68cb12dbd3492e3a0a55d8678689def4fb1870e350c6af07adcdb15db6

Observation 2a1e85ea-65f8-48a0-8792-13d8d8490c32 · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,.

Neural Vocoders as Speech Enhancers The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.726069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.085495Z digest=sha256:df2d26175865f1e880f603c53647f183d4181e3797c04911d712619de7d3f0a5

Observation b7795b0f-5b6e-4681-9a5a-078a3b19950f · outbound

This paper cites On training targets for su- pervised speech separation,.

Neural Vocoders as Speech Enhancers On training targets for su- pervised speech separation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.711872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.090147Z digest=sha256:041f15d6c135aad528bbb54d145baa98ca57f53941e7db6240a721bc9d165d91

Observation da323225-110a-42a1-9b80-e7d015544269 · outbound

This paper cites Signal estimation from modified short-time Fourier transform,.

Neural Vocoders as Speech Enhancers Signal estimation from modified short-time Fourier transform,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.697078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.095936Z digest=sha256:bdc9ead0a4ae6405d134b5200e31763d518e29352edc6cd001f626d908e5b1fc

Observation e0f6f397-d193-4ab3-8d43-17767c17751e · outbound

This paper cites Libritts: A Corpus Derived from LibriSpeech for Text-to- Speech,.

Neural Vocoders as Speech Enhancers Libritts: A Corpus Derived from LibriSpeech for Text-to- Speech,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.681383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.100279Z digest=sha256:bf4393438f0d6ae4368cbf49d63db7675f79252afd1e6579d1a508608348aec6

Observation 04cc6a3a-1a3f-40d9-bebc-635a2359253c · outbound

This paper cites ICASSP 2023 deep noise suppression challenge,.

Neural Vocoders as Speech Enhancers ICASSP 2023 deep noise suppression challenge,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.666483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.104366Z digest=sha256:7e2a1699688e5532034d021c19e6b1ef8e469b1c1ce26d215c761ddfd8f49721

Observation 28154813-8b3c-4a6b-82f4-006e5936a3ea · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Neural Vocoders as Speech Enhancers MUSAN: A Music, Speech, and Noise Corpus

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.109056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.109056Z digest=sha256:0dc090ee107bffb44e3d4c5ce48388efdc98a8bb1e5aff8cb8a2f5dc81a12369

Observation e3a7e9ef-c499-42c1-82e0-d99dcbf247fd · outbound

This paper cites Hd-demucs: General speech restoration with heterogeneous decoders,.

Neural Vocoders as Speech Enhancers Hd-demucs: General speech restoration with heterogeneous decoders,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.650977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.113850Z digest=sha256:acf315ea35de663853b412c1cdf07c73bf6d01981db6d81d106ff81e262fbd0e

Observation dabe3c41-406c-4c34-aa0d-c94eff7bca45 · outbound

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

Neural Vocoders as Speech Enhancers Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.635834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.118289Z digest=sha256:7e3b8313be80660a38d29ec28e1e60cfdc79011d5133b9dfc8b8dbc7a9f686e4

Observation 5efbd59f-3f4f-411d-8898-3e9f878c89bf · outbound

This paper cites Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement,.

Neural Vocoders as Speech Enhancers Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.621936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.122596Z digest=sha256:8e6503b2762612a8a3f0b7d949a42de3201857b6e31a1060613d258e258f0c2a

Observation 64722f43-6755-44ae-9a9b-24be607c4ed2 · outbound

This paper cites Music source separation with band-split RNN,.

Neural Vocoders as Speech Enhancers Music source separation with band-split RNN,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.126814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.126814Z digest=sha256:d75a00e918ae81fb8e1e0bcc47c4e7645fc75f4c49f0539d1000b0fd1af87a1c

Observation ae23a299-cecb-4849-8023-e9590dcfeb8b · outbound

This paper cites Bandwidth extension for hierarchical speech and audio coding in itu-t rec. g. 729.1,.

Neural Vocoders as Speech Enhancers Bandwidth extension for hierarchical speech and audio coding in itu-t rec. g. 729.1,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.599254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.131058Z digest=sha256:557581c2f3cef0bcf1c09c12780a7c13db29fb858dad610987d4a7e1915e5a5d

Observation 38d59a38-f141-4ed9-9366-17486fa1286f · outbound

This paper cites A short- time objective intelligibility measure for time-frequency weighted noisy speech,.

Neural Vocoders as Speech Enhancers A short- time objective intelligibility measure for time-frequency weighted noisy speech,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.584723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.135377Z digest=sha256:82cbef3940b21e0b363783d3d8a5cd1d17a85528fbd84086d8a6fbca34d992ac

Observation dda61654-01f6-401f-84ed-1f46ae9204d0 · outbound

This paper cites UTMOS: Utokyo-Sarulab System for V oiceMOS Chal- lenge 2022,.

Neural Vocoders as Speech Enhancers UTMOS: Utokyo-Sarulab System for V oiceMOS Chal- lenge 2022,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.570063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.139600Z digest=sha256:21f8c397f9a54af033d32392fee096bc76b081abc8e908ce929414936b6df958

Observation 04ad661b-3be8-4936-815d-4a6e5c5f0baf · outbound

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

Neural Vocoders as Speech Enhancers PHASEN: A phase-and- harmonics-aware speech enhancement network,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.555189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.144136Z digest=sha256:9e7d4e0a1d66fa2564869bc263c0de585e8e986fa5c68fc0d71cca26022fbcb5

Observation 223100d5-9e10-4b34-acf4-ab9f49af78f0 · outbound

This paper cites TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,.

Neural Vocoders as Speech Enhancers TF-GridNet: Making time-frequency domain models great again for monaural speaker separation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.541346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.148505Z digest=sha256:baf11defebd300a6832a0069b276a5dee87667db836c1dd8717ccb5fc5bc4c7a

Observation 3886dc37-d724-41ed-a8b7-6c3e035d9902 · outbound

This paper cites Taylor, can you hear me now? a taylor-unfolding framework for monaural speech enhancement,.

Neural Vocoders as Speech Enhancers Taylor, can you hear me now? a taylor-unfolding framework for monaural speech enhancement,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.526462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.152894Z digest=sha256:a67abfc609f5ac1674a267fc96f78579ce6f9302bf95efb433eaabb57efeb848

Observation a1a5da00-86ab-4e3b-8249-c9cd0daae650 · outbound

This paper cites Two heads are better than one: A two-stage complex spectral mapping approach for monaural speech enhancement,.

Neural Vocoders as Speech Enhancers Two heads are better than one: A two-stage complex spectral mapping approach for monaural speech enhancement,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.509917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.157064Z digest=sha256:278fef5f604dc5ec794fb18a12b3f21f509d7ce7081dcd325d487b93b4e9ab97

Observation 7b5b4f4d-28c2-4bb9-83f5-517d5e76446e · outbound

This paper cites Sixty years of frequency-domain monaural speech enhance- ment: From traditional to deep learning methods,.

Neural Vocoders as Speech Enhancers Sixty years of frequency-domain monaural speech enhance- ment: From traditional to deep learning methods,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.493373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.161070Z digest=sha256:47bb54adfa948a85d0abb0dcb0edcf9ebb64f3bc12d7b74478eb09faf64bd5e4

Observation 03b58b7f-5e4d-4285-8e85-e209b3bc2802 · outbound

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

Neural Vocoders as Speech Enhancers DNSMOS P. 835: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.477456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.165356Z digest=sha256:bb9db0951f994232ac604c2dc02f8e53b3a90bb6285b37ab546046d0331b8400

Observation 6507eafe-f2bd-418e-8376-9bfd2375fbee · outbound

This paper cites ViSQOL v3: An open source production ready objective speech and audio metric,.

Neural Vocoders as Speech Enhancers ViSQOL v3: An open source production ready objective speech and audio metric,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.460993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.169757Z digest=sha256:f7f44a1716a7ac8e173cf01745fd80408a37f40f18ce3c710ba60c43496966b5

Observation f6c9f0b6-5b8a-4c42-add6-756df69dee41 · outbound

This paper cites WaveFake: A Data Set to Facilitate Audio Deepfake Detection.

Neural Vocoders as Speech Enhancers WaveFake: A Data Set to Facilitate Audio Deepfake Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.174133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.174133Z digest=sha256:ca325854f07460ec1c9d4cefe5ba3be18b4e9e136792f7945b69aa1ac04fd6ba

Observation 94edbe0a-9ce7-4ed5-9e8d-949e3b47bc87 · outbound

This paper cites ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection.

Neural Vocoders as Speech Enhancers ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.178977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.178977Z digest=sha256:ca692b1a167616438421617af2b1ded0eac95821384d910e803b5158cc61ccd5

Observation 3636e44f-b18c-4f6f-a8b3-dcedea3161c7 · outbound

This paper cites Singfake: Singing voice deepfake detection,.

Neural Vocoders as Speech Enhancers Singfake: Singing voice deepfake detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:59:21.446096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T15:59:21.183546Z digest=sha256:7fa3bcca94f6bca7bc9e66ac65eb9f658990baa50b203357371fe4f0354f52e3

Observation 85fe2d22-0e3d-4e95-990a-34ee7b0a1f38 · outbound

This paper cites CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection.

Neural Vocoders as Speech Enhancers CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:21.187694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:59:21.187694Z digest=sha256:6c81d37c9a52b526b2eb6a3ae68970dd8acaeff408222f41ce2081b854b08ef2

Pith citing papers

Observation be508643-0f5c-4216-9195-6bd4526e9ed7 · inbound

Learning Neural Vocoder from Range-Null Space Decomposition cites this paper.

Learning Neural Vocoder from Range-Null Space Decomposition Neural Vocoders as Speech Enhancers

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:26:14.670112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T13:26:14.455424Z digest=sha256:819fe3e3b2be2a471150c9c4f0e842e772508766750f328bcec211fffe7ce54a