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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.616229Z digest=sha256:9b30ab43cd038a469c6fde75ea07a97c6586d9ef443d04ff00c1cd95597f2ee6

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.674117Z digest=sha256:127a729444010e81ff68fa8e3fe03518784e0cc3d7c944c752167d91e6bdb308

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.754764Z digest=sha256:07b2de304662ca7c7995d4ea442907f8cc4a9ec4ddd63b66f8b3dd05247a7cb7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.918425Z digest=sha256:2703aa0e5b2cf43f86e156c1dcd5008b17937ea8ddeef6ba36911870e0a7b148

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.354386Z digest=sha256:1873923d8616e3b293c123381303f12e70e206c9e17a0e39f2d0799575ce60c2

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.

source=pdf_text observed=2026-08-07T14:15:17.008658Z digest=sha256:869330e5f2ee891fda6bb8c6545c2cb4b92a9367f955b81ce97403ac973a199b

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.082368Z digest=sha256:a2cfe88d4b7d3f8623d5af3478fe0fbaa95a7e41e167ba6a9158f4b90a63789d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.188903Z digest=sha256:e1a5ed6d1746da49158af3f0814759263c0830b2c4fff0cbe95596246ddf76ef

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.

source=pdf_text observed=2026-08-07T14:15:17.290071Z digest=sha256:607e3e96af7d9ca7fdd9fd44be9b0007e650b8074ee404e5d49a72e056214e18

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.877692Z digest=sha256:30504f45168b54e48f14bd310261b126e37504228e5e8f207d09aa823195864b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.469220Z digest=sha256:6f5d2a1adf49deb1d45c29e86c6454a93c004c5305db553cd59a027e097385e6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.569465Z digest=sha256:d5e3796e7e626b0a870b6321167ad6870c4d4b13feb6e3ee687ed608c7fc7d75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.690722Z digest=sha256:1fb79dfbd5aa7baa2f8ce19f05f8b8a01f2095c2eeaf3679aee9fc9efbef933c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.764946Z digest=sha256:48612b437743eb3c892e636e48c74b015d79717a50e3f51a04e27445bbd1bb34

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.327238Z digest=sha256:b91e6b30690870007148ee0d77d3eb6d16b66c2a1630cf32b754f6a7a9a53e84

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:17.962825Z digest=sha256:e1e2aaa948b6ec36da504dd25bafa641aeed4d3222cbe44da3026dc8b1427e0e

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.

source=pdf_text observed=2026-08-07T14:15:18.049648Z digest=sha256:6bbeab437cae867fcf01fd4a7e1df74325fbffff1198c341452419134843aab7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.159167Z digest=sha256:ccfa86af0be5face02cc4cddb115cffd82a9bd3232d759ab0facce4f50b4d173

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.248842Z digest=sha256:a1054c2adc55ddb55dfd9af873e45c8628eab941c1f00e8035809be031398db4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.704598Z digest=sha256:630b88216f7125edfe628afeaa953dc7e4252fa929b832d4906e040af44e4163

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.394563Z digest=sha256:7e2451ca92cd433c99243701d9cd5665e3a24a994ead21ca05da0cd5de0483e3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.496029Z digest=sha256:2e6b0aaba883c1aac73425b290f142a714ce160e642f43c17fc8af980889fc08

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.

source=pdf_text observed=2026-08-07T14:15:18.545648Z digest=sha256:973d537789f4d34449cb3b5267418e502fff2066f5e1da3d48fc533946560159

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.607630Z digest=sha256:b52de9af6680f7ba490295a6adfcbe668981cc59c4ef0def9f73ef12ae7ef883

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.344327Z digest=sha256:3cf10d2d11abdd6c6a66c5b62a66326e11a54093b92c49cd0d07a9c2c157afce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.854700Z digest=sha256:3969fee23e0b90865f84e3dd35f7b1fa3839aefcce9fa75cc619f3e247b71d19

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.796907Z digest=sha256:dd041e802e0edf1319ef1376930ece4e45c0f2c41d3accb39447c8f641ba6756

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:18.932673Z digest=sha256:83842357467851a79618f6fc002eb4690e822b8b67c38af1480e24bea9c1c94c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.070398Z digest=sha256:207ac3d8e2a9b862cac68252f8463d9e7e9100cf3f4503e331fb1cd9614da089

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.

source=pdf_text observed=2026-08-07T14:15:19.202188Z digest=sha256:aeb99989b9a5fd4128ae88a6bf61a2cc880ca0ee4f9eaf0d58e25a12d973c077

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.456879Z digest=sha256:a98c674b277acdad1ae0ec2c4caec28cf57814052e17aa5ef3436b123c0287b0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.592659Z digest=sha256:4f918f7b9b49ae925ec8e06308296e6b80733108892198ddcaf642d6d24d8d2e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.712680Z digest=sha256:923d8e9eaee550e653b42cd7313ef99e2be331076d5c8bbdff680e828dfcb521

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:19.879152Z digest=sha256:debdf5ef89cc633e81f93799d3009e6ea4a507799472b3e7031686898ba85b4b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:20.030707Z digest=sha256:27aee6049e5e55de6a0930fa42f5b6b006229fa83dc0e724ca52eedd0e11403e

Pith citing papers

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

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

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:15:16.616229Z digest=sha256:9b30ab43cd038a469c6fde75ea07a97c6586d9ef443d04ff00c1cd95597f2ee6