Paper Citation Record · LEDGER

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.01338.

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

pith.paper-citation-record.v1
2505.01338 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:25:22.269149Z

measured 44 of 44 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 2026-08-16T04:25:22.092455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T04:25:22.410365Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy32
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfa1203b-eebc-4800-ab03-c693cc5ee081 · outbound

This paper cites an unresolved cited work.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:25:22.893192Z

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 5da3e32b-dcc2-411f-a66b-c947d5247187 · outbound

This paper cites How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:25:22.414848Z

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 9c44c7d7-f6bf-4fde-ad8f-cc5528218af1 · outbound

This paper cites Dataset We used the clean speech, noise, and RIR dataset provided by the DNS challenge 2022 [6].

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Dataset We used the clean speech, noise, and RIR dataset provided by the DNS challenge 2022 [6]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.865169Z

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 05e0398d-eb29-42af-9947-6c7712cda59a · outbound

This paper cites an unresolved cited work.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:25:22.852186Z

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 4605b272-6b98-49be-bb62-adebeb6bf58e · outbound

This paper cites We demonstrated that SE under such challenging scenarios is feasible and obtained state-of-the-art per- formance for this task.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios We demonstrated that SE under such challenging scenarios is feasible and obtained state-of-the-art per- formance for this task

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.838387Z

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 4365f2fe-b4f1-4a2a-b61e-d2a8da5e54fb · outbound

This paper cites ICASSP 2022 deep noise suppression challenge,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios ICASSP 2022 deep noise suppression challenge,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.787554Z

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 57da2c97-cb78-4684-bc1d-2c35e815d77e · outbound

This paper cites Music Source Separation in the Waveform Domain.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Music Source Separation in the Waveform Domain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.116349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ddeece9-9faa-4c05-aa75-845288593261 · outbound

This paper cites VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.121342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2a0159-1894-4dc9-af69-e53f78dbf713 · outbound

This paper cites Real-time single-channel dereverbera- tion and separation with time-domain audio separation network.,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Real-time single-channel dereverbera- tion and separation with time-domain audio separation network.,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.126287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e561829b-7a7f-4efe-8bbd-02a1456fe465 · outbound

This paper cites Whamr!: Noisy and reverberant single-channel speech separation,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Whamr!: Noisy and reverberant single-channel speech separation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.815489Z

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 067de189-fc59-4d79-95dc-2e0ba56e8d39 · outbound

This paper cites Audio super- resolution using neural nets,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Audio super- resolution using neural nets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.801182Z

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 18800486-978d-40a0-aeec-d62c2ebec854 · outbound

This paper cites Real Time Speech Enhancement in the Waveform Domain.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Real Time Speech Enhancement in the Waveform Domain

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.164210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0698681-126e-4b33-95a7-5c47b6626268 · outbound

This paper cites ICASSP 2023 Deep Noise Suppression Challenge.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios ICASSP 2023 Deep Noise Suppression Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.143745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e2e32d-3204-42bc-8e13-078e54462792 · outbound

This paper cites A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.773515Z

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 0b6d45a9-04ea-4072-97df-8271937f0240 · outbound

This paper cites The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.152951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622f5f11-40f8-447d-b536-76b43b84b608 · outbound

This paper cites TPARN: Triple-path attentive recur- rent network for time-domain multichannel speech enhancement,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios TPARN: Triple-path attentive recur- rent network for time-domain multichannel speech enhancement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.759789Z

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 0d7dd2c0-a919-40fc-97bc-9cb952573f3b · outbound

This paper cites Deft-an: Dense frequency-time attentive network for multichannel speech enhancement,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Deft-an: Dense frequency-time attentive network for multichannel speech enhancement,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.745766Z

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 39fbd2e9-5de7-4db5-8b11-c3dd5ea49a54 · outbound

This paper cites Here, the decay rate of the window is adaptive and depends on the T60 of the original impulse response.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Here, the decay rate of the window is adaptive and depends on the T60 of the original impulse response

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.879317Z

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 9cb72262-e27c-41be-803f-2a891cfdd702 · outbound

This paper cites Speech enhancement with multichannel wiener filter techniques in multimicrophone binaural hearing aids,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Speech enhancement with multichannel wiener filter techniques in multimicrophone binaural hearing aids,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.732427Z

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 28675467-6421-493e-b423-744661345b5a · outbound

This paper cites An analysis of environment, microphone and data simulation mismatches in robust speech recognition,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios An analysis of environment, microphone and data simulation mismatches in robust speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.718997Z

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 c6f146f2-a109-47c5-acfe-a96597e66192 · outbound

This paper cites ICASSP 2021 deep noise suppression challenge,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios ICASSP 2021 deep noise suppression challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.705210Z

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 ebe5073e-302d-43a8-b7eb-768fcc0c678a · outbound

This paper cites Fullsubnet+: Channel atten- tion fullsubnet with complex spectrograms for speech enhancement,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Fullsubnet+: Channel atten- tion fullsubnet with complex spectrograms for speech enhancement,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.691078Z

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 397c4ee4-451e-4a37-9d99-09735919419d · outbound

This paper cites Effects of early and late reflections on intelligibility of reverberated speech by cochlear implant listeners,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Effects of early and late reflections on intelligibility of reverberated speech by cochlear implant listeners,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.676497Z

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 314c01be-6391-4443-bc30-62c68529f8f0 · outbound

This paper cites Speech dereverberation with a reverberation time shortening target,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Speech dereverberation with a reverberation time shortening target,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.662846Z

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 2df2720d-86f4-4020-a6f0-db03fd19bec8 · outbound

This paper cites Towards efficient models for real-time deep noise suppression,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Towards efficient models for real-time deep noise suppression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.648987Z

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 1d21737e-6f60-4d2e-b4c5-4b17b9eec5f4 · outbound

This paper cites DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:25:22.195587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812bcec2-0f75-46f9-ada9-c5a746fd0981 · outbound

This paper cites Pyroomacous- tics: A python package for audio room simulation and array processing algorithms,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Pyroomacous- tics: A python package for audio room simulation and array processing algorithms,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.634875Z

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 d4e099b9-907a-453f-bbca-aeb36ec505ce · outbound

This paper cites gpurir: A python library for room impulse response simulation with gpu acceler- ation,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios gpurir: A python library for room impulse response simulation with gpu acceler- ation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.620381Z

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 be0bc178-333e-451a-bb02-2928e9321b97 · outbound

This paper cites Multi-scale temporal frequency convolutional network with axial at- tention for speech enhancement,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Multi-scale temporal frequency convolutional network with axial at- tention for speech enhancement,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.607039Z

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 8b314f25-a78d-4b5f-924d-8c76e00075d7 · outbound

This paper cites 1960, McGraw-Hill New York, 1957.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios 1960, McGraw-Hill New York, 1957

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.594692Z

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 8071f229-073b-48bd-9d55-6bc04c2556ff · outbound

This paper cites Acoustics and architecture in italian catholic churches,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Acoustics and architecture in italian catholic churches,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.581682Z

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 4f09f2d3-f582-4402-9477-9a31348184fb · outbound

This paper cites Influence of proportion towards speech intelligibility in mosque’s praying hall,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Influence of proportion towards speech intelligibility in mosque’s praying hall,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.568511Z

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 58a895c9-8684-4d9e-914c-5f2cb2110fed · outbound

This paper cites Deepfilternet2: Towards real-time speech enhancement on embedded devices for full-band audio,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Deepfilternet2: Towards real-time speech enhancement on embedded devices for full-band audio,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.554544Z

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 c212806c-8587-4dd1-bbd1-c7541fe283c0 · outbound

This paper cites CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios CSTR VCTK Corpus: English multi-speaker corpus for CSTR voice cloning toolkit (version 0.92),

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.540797Z

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 fe9a427a-cd47-4c7f-9c7d-4956a11ddca1 · outbound

This paper cites A pitch tracking corpus with evaluation on multipitch tracking sce- nario.,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios A pitch tracking corpus with evaluation on multipitch tracking sce- nario.,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.526986Z

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 2f5c7dbd-aacc-4bcf-8a1e-e70bec82aaf6 · outbound

This paper cites FRA-RIR: Fast Random Approximation of the Image-source Method.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios FRA-RIR: Fast Random Approximation of the Image-source Method

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:25:22.312271Z

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 64cbfab4-843e-4d5a-8d88-d85fef67e0d5 · outbound

This paper cites S3a room impulse re- sponses,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios S3a room impulse re- sponses,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.512654Z

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 ce2d08f4-412b-4aed-91ce-c3ce3ca7a5c4 · outbound

This paper cites Openair: An interactive au- ralization web resource and database,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Openair: An interactive au- ralization web resource and database,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.499194Z

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 ca98495c-60fd-4fd3-82e7-cb43b2347a75 · outbound

This paper cites Real-time low-latency music source separation using hybrid spectrogram-tasnet,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Real-time low-latency music source separation using hybrid spectrogram-tasnet,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.484646Z

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 2def8e7a-09ff-496b-90b6-5105c8ece56e · outbound

This paper cites FRCRN: Boosting feature representation using frequency recurrence for monaural speech enhancement,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios FRCRN: Boosting feature representation using frequency recurrence for monaural speech enhancement,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.469165Z

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 bea832ea-0c91-40d5-b89d-3e5f7e561665 · outbound

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

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Dnsmos: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.455406Z

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 487b4b2a-9d84-4a04-8455-ae1c16066427 · outbound

This paper cites Data augmentation and loss nor- malization for deep noise suppression,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Data augmentation and loss nor- malization for deep noise suppression,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.440623Z

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 f823a377-53aa-4f80-b375-093bace37086 · outbound

This paper cites Icassp 2023 speech signal im- provement challenge,.

How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios Icassp 2023 speech signal im- provement challenge,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:25:22.427609Z

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 5da3e32b-dcc2-411f-a66b-c947d5247187 · inbound