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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.012497Z digest=sha256:7c681d79138d09d498c1d5f362092c056471eb507e403767152aa736cf6a1ec6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.017287Z digest=sha256:7f006099fd77383512e21a2ef29d82af61ea53c347fe4b6221623f021aa58d46

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.021720Z digest=sha256:2d79605d3b059087c51ed7d10a574b6404edff57efc252425b66e8b119073168

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=sha256:43a57decf196a62d08aa166ac6a53e46edb51c0cb986e4dd3f6df969a3a6f328

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.031198Z digest=sha256:5193518b279aa445cbcbc1a233fc2634ace88553bd197ce5000e02a94162565f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.036549Z digest=sha256:054f9336f8a1a1a30cc0d96551b7e0103c81a51534b90536be3127e1d8183be5

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:c48a82136cc71cd757c1e636fd0484713f9a928f6c74a55b6ce3065b502b2f8f

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:a2aa8a20f9d79718328e3df83ae2e322f7ae8771bad381f812a465ae12833a65

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.051193Z digest=sha256:80f1c4aeaf2f3b6063d7577e76ed0d96a6e103829f2b0542b2389b10a3847061

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.055510Z digest=sha256:1c0e806e56be28138d60eb9f8e3e6f31a1c11a0c7bced5f968dd7601e42688f4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.059647Z digest=sha256:79eb8c00a65a220bcfea2fdf72a82a8ec3cb8708a6ddd9a75156dfb252b05343

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.063815Z digest=sha256:9404613a0918b4ef2637c43402254d138f460d2110a978f616c07a5992ea1a18

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.067920Z digest=sha256:169ebc43730347cc7707272e48af78777f988a4c57f32282b172c5a26042f9b0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.072366Z digest=sha256:a632bb38020dd4490bc76cca8ed65dbdbe17450ae438079baa03cb6d22f9f84e

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=sha256:64c9ba7c1d1f908eb8c4998c8abbcadd23c9a5fe662f8ecad973384d0dd132c4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.081100Z digest=sha256:51a08b2719ecb56223c24ea0b4e242bb6faf7b789d1dd918d9dd8f207c7dc8d5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.085495Z digest=sha256:913a5ee5e037df3f4db88437f0c8014912d5f569bc49331c74f5623374801ce4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.090147Z digest=sha256:df39f3e534f99a9180055170a3cde3bdf077cf8258408245695adf68d5ee75b8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.095936Z digest=sha256:41ec1d655c93abae0cd1ae389bc045e06f9db84731ca035df51c6387c4f820a3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.100279Z digest=sha256:9b3edcf2a2db34a8bb00986dac4c5986c94700b8bec1653cd86bcfe3771a415d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.104366Z digest=sha256:c2da0b320bc149e5041d5f985f9dbe27cd5c39160c46f9e8bf3dc5fdb39beb5a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.113850Z digest=sha256:7f23a7d244f3dc7d0cc3cfe2dbb22a4c9a4d6201a483087b63979fd8b96a659a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.118289Z digest=sha256:bffaad246900cdb57b225facdca5f7d95d9adf5a3f9422704d43f667ab4671c9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.122596Z digest=sha256:5b2b24b7a15c84c2428fad9eaea5ee9f43d9053b98577460c91979fd139c8c83

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.131058Z digest=sha256:aebe3282c35c36883f1cda4647fa12341d9f37897c2638d4d87d278542a42c40

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.135377Z digest=sha256:8294e68c5ec892f6ecfea07244726a4a00b05cee078df42445560bd631ca4fa7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.139600Z digest=sha256:4ce0c9a195ec32b8fbc69ee4d0040dd555125e98e4e063c4a35338667767942a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.144136Z digest=sha256:dd7293d181c96df3b01e79632b95f1e41650df1b9464053093926499becb4489

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.148505Z digest=sha256:59d1bec73acbab130cf174b73be0c31aeaac438f3e585250b35517e0bbe81e1e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.152894Z digest=sha256:d3594576aea14689a10375216addae1815f07df8c4089bd51017a27a70b7309d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.157064Z digest=sha256:da38ef95474243700ad5d81d3ba3cfe32a467d7a83e2926af4a57a72c314a424

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.161070Z digest=sha256:e16093f45a250ea9dbbc03c2da65a3d5373560ecb12538fa312a3c20d7f545d2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.165356Z digest=sha256:ddce5093f8867ffef739eb3a967bda9264f4c025e4beb30ea32fcff96a06d548

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.169757Z digest=sha256:44dabee64becf7aab14aa18e6facfcfa1090cf8a73996162c92e6c94e364df74

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:aba032a157b016cb1cf6566995ca7c1177aa71dea371537eb9cb5804a9015088

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T15:59:21.183546Z digest=sha256:22f2d04ff6ff275f689ad08fb7b567e4fc993d62b3ecd68cf45ffc5038789de1

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:e00d724991d0e6d867e5ed315fb6e9514d5c371b9ee387ce4ca23e141557d2e0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:26:14.455424Z digest=sha256:a99385509a2134f47011ff2b6ccd1ab2a97d89f93fe388061bca802465f64cd7