Paper Citation Record · LEDGER

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.19576.

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

pith.paper-citation-record.v1
2505.19576 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:20.030707Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:16.616229Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:15:20.271498Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy27
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6251a97c-cb08-412c-aa85-4a0eb75ab2e0 · outbound

This paper cites Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:15:20.372442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f152f28d-1ab1-40f8-a549-01d6710ce46a · outbound

This paper cites an unresolved cited work.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:15:25.782651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23c40926-1fc6-4fcf-9780-c00dc2454415 · outbound

This paper cites an unresolved cited work.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:15:25.489418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0209c5b-89f0-4e71-8ed4-87c29fd87d8d · outbound

This paper cites With an effective STFT-to- Mel module inserted before the McNet backbone, Mel-McNet can process both spectral and spatial information in the Mel domain.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement With an effective STFT-to- Mel module inserted before the McNet backbone, Mel-McNet can process both spectral and spatial information in the Mel domain

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.114223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c2d67f3-4ade-460d-af80-6a2c225b5850 · outbound

This paper cites Tf-gridnet: Integrating full- and sub-band modeling for speech separation,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Tf-gridnet: Integrating full- and sub-band modeling for speech separation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.602969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61fbb863-22a3-43b8-b87f-d84a439609ad · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Supervised speech separation based on deep learning: An overview,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:17.008658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4487602b-49c7-4dc5-99ca-d5d88c57937f · outbound

This paper cites Unsupervised speech enhancement based on mul- tichannel nmf-informed beamforming for noise-robust automatic speech recognition,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Unsupervised speech enhancement based on mul- tichannel nmf-informed beamforming for noise-robust automatic speech recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.964750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1774fdbb-ecea-4fcf-88d4-d62f8bf6fa6d · outbound

This paper cites Blstm supported gev beamformer front-end for the 3rd chime challenge,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Blstm supported gev beamformer front-end for the 3rd chime challenge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.787990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1d6f1654-3e9e-4c99-a824-2a08c9735620 · outbound

This paper cites Spatialnet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Spatialnet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:17.290071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4469f4c5-36cd-4057-9cab-7840cb851a4e · outbound

This paper cites Tparn: Triple-path attentive recurrent network for time-domain multichannel speech enhancement,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Tparn: Triple-path attentive recurrent network for time-domain multichannel speech enhancement,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.725920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da2f6a6b-393a-463a-a3f2-2ef8a870a008 · outbound

This paper cites Insights into deep non-linear filters for improved multi-channel speech enhancement,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Insights into deep non-linear filters for improved multi-channel speech enhancement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.452204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4b8e17c9-9178-4bdd-8aa7-cfa10c7b8746 · outbound

This paper cites Multichannel long-term streaming neural speech enhancement for static and moving speakers,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Multichannel long-term streaming neural speech enhancement for static and moving speakers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.268450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88a1f7cb-6430-47d4-8902-3f9100d94bc8 · outbound

This paper cites Mcnet: Fuse multiple cues for multichannel speech enhancement,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Mcnet: Fuse multiple cues for multichannel speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:24.084294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38d01b41-2bb2-43ad-bcac-eba481530deb · outbound

This paper cites Fas- net: Low-latency adaptive beamforming for multi-microphone au- dio processing,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Fas- net: Low-latency adaptive beamforming for multi-microphone au- dio processing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.932465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c448451-2d94-4d13-b49c-f71273f876a7 · outbound

This paper cites Embedding and beamform- ing: All-neural causal beamformer for multichannel speech en- hancement,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Embedding and beamform- ing: All-neural causal beamformer for multichannel speech en- hancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.933360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f3c3c44-e052-4c5f-aa96-33b6df763279 · outbound

This paper cites Multichannel speech enhancement without beamforming,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Multichannel speech enhancement without beamforming,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.556276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 246d7497-bd14-4c67-8170-99e3b83fa6a8 · outbound

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

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:18.049648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c350b68f-2e4b-4c50-a9b4-82e931460244 · outbound

This paper cites Deep neural mel-subband beamformer for in-car speech separation,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Deep neural mel-subband beamformer for in-car speech separation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.320094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c7420b7-5881-4fc0-b33f-9540a13ecc64 · outbound

This paper cites A multi-phase gammatone filterbank for speech separation via tasnet,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement A multi-phase gammatone filterbank for speech separation via tasnet,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:23.101716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e98fae5-89b6-49a2-b520-892de6899479 · outbound

This paper cites The third ‘chime’ speech separation and recognition challenge: Dataset, task and baselines,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement The third ‘chime’ speech separation and recognition challenge: Dataset, task and baselines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.340775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cd0a53c3-29ac-4ddc-bfd4-1e42b75f2c5f · outbound

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

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Phasen: A phase-and- harmonics-aware speech enhancement network,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.820190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1d78296-63e6-4a2a-900a-fe74007e884d · outbound

This paper cites A scale for the measurement of the psychological magnitude pitch,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement A scale for the measurement of the psychological magnitude pitch,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.692042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a4498b8-5f69-4669-bc9a-9b2c2b66c83d · outbound

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

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:18.545648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9f2538-5664-48c8-94d4-bf331f47a028 · outbound

This paper cites Ul- tra dual-path compression for joint echo cancellation and noise suppression,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Ul- tra dual-path compression for joint echo cancellation and noise suppression,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.524380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bd7d797-dc5f-4e89-a241-043969400d7d · outbound

This paper cites EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and derever- beration,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and derever- beration,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.612004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86a894b7-3a33-46cc-a5c1-4ea3118a1531 · outbound

This paper cites About 200-hour high- quality speech data are selected for each language.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement About 200-hour high- quality speech data are selected for each language

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:25.338874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ea59445-9a07-4491-a383-d4dbcd2cb8c8 · outbound

This paper cites Icassp 2023 deep noise suppression challenge,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Icassp 2023 deep noise suppression challenge,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:22.120550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e3404a6-0ffc-4c2c-80e5-7641998b6c9b · outbound

This paper cites Aishell-1: An open- source mandarin speech corpus and a speech recognition base- line,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Aishell-1: An open- source mandarin speech corpus and a speech recognition base- line,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.933460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b74bb367-e7fb-46bd-9bf7-01f4fb7dc7ae · outbound

This paper cites AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.756353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b379b823-5a41-4afd-a9c1-83de7f51b534 · outbound

This paper cites THCHS-30 : A Free Chinese Speech Corpus.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement THCHS-30 : A Free Chinese Speech Corpus

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:19.202188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac38e90e-36f9-40de-bb34-016e053dd2f5 · outbound

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.490440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2ede5596-29c4-4e53-a527-98e2450b7cbf · outbound

This paper cites The design for the wall street journal- based csr corpus,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement The design for the wall street journal- based csr corpus,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.400579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f3dd1ee-364b-49cb-aa9e-20ae94b02243 · outbound

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

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:21.258434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90e7c3f7-8b98-4570-a202-c7b451ecee55 · outbound

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

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:20.981574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c5f950c-84c7-4fdf-922d-b1f6ec2172e9 · outbound

This paper cites Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,.

Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:15:20.657162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 6251a97c-cb08-412c-aa85-4a0eb75ab2e0 · inbound