Paper Citation Record · LEDGER

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.16823.

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

pith.paper-citation-record.v1
2412.16823 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:19:38.006357Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy22
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94f9a649-1b4f-4621-90a4-0e54e6285963 · outbound

This paper cites an unresolved cited work.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:19:38.756469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a491310-b960-4b0b-98c3-4bbafc05029a · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Supervised speech separation based on deep learning: An overview,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.828321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c459f6-80d2-4627-a39c-1f0414a47b67 · outbound

This paper cites On MMSE-based estimation of amplitude and complex speech spectral coefficients under phase- uncertainty,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement On MMSE-based estimation of amplitude and complex speech spectral coefficients under phase- uncertainty,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.729611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 182caf51-7d2b-4a52-b42e-f73dd381ede2 · outbound

This paper cites Speech Enhancement Using a Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Speech Enhancement Using a Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.711801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a6770c52-4962-422f-9d40-4e65fd585e54 · outbound

This paper cites A novel fast nonstationary noise tracking approach based on mmse spectral power estimator,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement A novel fast nonstationary noise tracking approach based on mmse spectral power estimator,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.844184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 547e5c36-038e-4677-bbff-3b3e7e1e1559 · outbound

This paper cites Fast nonstationary noise tracking based on log-spectral power mmse estimator and temporal recursive averaging,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Fast nonstationary noise tracking based on log-spectral power mmse estimator and temporal recursive averaging,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.677330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c84bf4ec-de40-482b-a475-fd9ab768d361 · outbound

This paper cites Real time speech enhancement in the waveform domain,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Real time speech enhancement in the waveform domain,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.855517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ba4861-b2de-42af-b2a4-028a1c2d951f · outbound

This paper cites On loss functions for supervised monaural time-domain speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement On loss functions for supervised monaural time-domain speech enhancement,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.862285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84437061-ddd5-4a6c-ac7c-23dd7da3e764 · outbound

This paper cites DeepMMSE: A deep learning approach to mmse-based noise power spectral density estimation,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement DeepMMSE: A deep learning approach to mmse-based noise power spectral density estimation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.867740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e98fee-018d-48cc-a34f-820dc6765b9a · outbound

This paper cites Exploring tradeoffs in models for low- latency speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Exploring tradeoffs in models for low- latency speech enhancement,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.873403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104b4610-3fcd-4a25-9618-34700c18df16 · outbound

This paper cites A regression approach to speech enhancement based on deep neural networks,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement A regression approach to speech enhancement based on deep neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.879107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ffcf1e-7cc7-4e34-bae9-35722fd7c43d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement U-net: Convolutional networks for biomedical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.600809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ccb7678-eae1-4337-a83c-c2e314831c47 · outbound

This paper cites Dccrn: Deep complex convolution recurrent network for phase-aware speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Dccrn: Deep complex convolution recurrent network for phase-aware speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.583262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8409b31-4491-46ef-8b61-0c84b94ee850 · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Tf-gridnet: Making time-frequency domain models great again for monaural speaker separation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.565537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea2dd68f-2760-433c-a337-bd0d4de09d6c · outbound

This paper cites Mamba in Speech: Towards an Alternative to Self-Attention.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Mamba in Speech: Towards an Alternative to Self-Attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.901717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ed1b47-8260-42bd-985f-daddc1e9d6a8 · outbound

This paper cites Mp-senet: A speech enhancement model with parallel denoising of magnitude and phase spectra,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Mp-senet: A speech enhancement model with parallel denoising of magnitude and phase spectra,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.549222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 860f9ca9-3430-4ef2-ad5a-5517cf444837 · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement PHASEN: A phase-and- harmonics-aware speech enhancement network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.532211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c001cdb-62df-482b-8e30-9811575299c9 · outbound

This paper cites Complex ratio masking for monaural speech separation,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Complex ratio masking for monaural speech separation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.918517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a8b41b-c007-42a6-a79e-3e12f6674ded · outbound

This paper cites Graph signal processing: overview, challenges, and appli- cations,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Graph signal processing: overview, challenges, and appli- cations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.501963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a7e99fe-15f0-48de-a41e-db9ed1fbc39c · outbound

This paper cites Speech signal processing on graphs: the graph frequency analysis and an improved graph wiener filtering method,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Speech signal processing on graphs: the graph frequency analysis and an improved graph wiener filtering method,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.482736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5c6a790-3379-4756-8b80-62cf4700d9e7 · outbound

This paper cites Weighted speech distortion losses for neural-network-based real-time speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Weighted speech distortion losses for neural-network-based real-time speech enhancement,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.462459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c76f122-aea6-46b8-812e-a5e5d126495c · outbound

This paper cites DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.938704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9113e3a-2ca7-4323-8ebc-387cd9a8b2d5 · outbound

This paper cites Dual application of speech enhancement for automatic speech recognition,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Dual application of speech enhancement for automatic speech recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.444474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 061063ff-a1f7-4e9c-9ef3-92dc05615b4e · outbound

This paper cites Multi-scale temporal frequency convolutional network with axial attention for multi-channel speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Multi-scale temporal frequency convolutional network with axial attention for multi-channel speech enhancement,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.427612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e1f4dee-0a75-4f0b-a096-1b9211d06a34 · outbound

This paper cites High Fidelity Speech Enhancement with Band-split RNN.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement High Fidelity Speech Enhancement with Band-split RNN

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:19:37.956430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ee5dc7-4abb-4206-b29c-5152ca7ece9d · outbound

This paper cites Single-channel speech enhancement using graph fourier transform,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Single-channel speech enhancement using graph fourier transform,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.410418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 841b8a2e-a62c-4830-b043-68d1c7df10bf · outbound

This paper cites Time-domain speech sep- aration networks with graph encoding auxiliary,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Time-domain speech sep- aration networks with graph encoding auxiliary,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.392051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81b8da49-c4ac-4f75-baf1-809607d62a86 · outbound

This paper cites DCCRN+: channel-wise subband DCCRN with SNR estimation for speech enhancement,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement DCCRN+: channel-wise subband DCCRN with SNR estimation for speech enhancement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.367187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e8f0cf7-35c8-4ee1-899f-fd064e27680d · outbound

This paper cites The INTERSPEECH 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement The INTERSPEECH 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.347454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 203201b6-e6e1-46ee-90ba-978a7d54ea69 · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.328548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29bad4d4-446a-4ba5-bd8c-7455cb4bb671 · outbound

This paper cites The diverse environments multi- channel acoustic noise database: A database of multichannel environ- mental noise recordings,.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement The diverse environments multi- channel acoustic noise database: A database of multichannel environ- mental noise recordings,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.308632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e64ddec6-7432-4b1b-a60e-6b269286cf96 · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.287410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6273dfab-b65c-43c1-801c-79eb8eccd685 · outbound

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

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement A short- time objective intelligibility measure for time-frequency weighted noisy speech,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.250779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 945342eb-bde8-42bf-9188-0af769d5b8de · outbound

This paper cites SDR - half- baked or well done?.

Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement SDR - half- baked or well done?

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:19:38.230558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.