Paper Citation Record · LEDGER

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.01023.

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

pith.paper-citation-record.v1
2506.01023 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:11.769347Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:11.434880Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:56:11.874636Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy27
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 534e4c38-2ea0-4980-8b26-fe70925db5af · outbound

This paper cites A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:56:11.887794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb9494b7-303c-4e91-80b4-4f2475e6a45b · outbound

This paper cites The overall architecture The noisy speech signal is denoted asx(n), which can be ex- pressed as: x(n) =s(n) +z(n)(1) wheres(n)is clean speech signal,z(n)is additive noise signal.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement The overall architecture The noisy speech signal is denoted asx(n), which can be ex- pressed as: x(n) =s(n) +z(n)(1) wheres(n)is clean speech signal,z(n)is additive noise signal

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.722078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 850b97b1-b184-404e-a565-740892b8e8b3 · outbound

This paper cites Datasets To evaluate the performance of HDF-Net, we conducted exper- iments on the V oiceBank+DEMAND [20] dataset, which con- tains paired clean and noisy speech.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Datasets To evaluate the performance of HDF-Net, we conducted exper- iments on the V oiceBank+DEMAND [20] dataset, which con- tains paired clean and noisy speech

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.675256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec6eb856-bbc9-4520-b646-a18fa356d4be · outbound

This paper cites We also introduce the TAConv module, which further captures temporal correlations for speech enhancement tasks.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement We also introduce the TAConv module, which further captures temporal correlations for speech enhancement tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.647394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2dd08e0c-ece9-455a-b77c-477107dfc49a · outbound

This paper cites an unresolved cited work.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:56:12.622542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8848ed91-fee3-484a-b052-876ae2463cf6 · outbound

This paper cites Deepfilternet: A low complexity speech enhancement frame- work for full-band audio based on deep filtering,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Deepfilternet: A low complexity speech enhancement frame- work for full-band audio based on deep filtering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.598119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0938373b-cadf-4f88-8d36-e630bdcc2c4a · outbound

This paper cites Cmgan: Conformer-based metric gan for speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Cmgan: Conformer-based metric gan for speech enhancement,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.577877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5ae11eb-7f72-4533-984f-5d58141f901b · outbound

This paper cites Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.557374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a816091-1eaf-4402-91e5-83ff263300e2 · outbound

This paper cites Gtcrn: A speech enhancement model requiring ultralow computational re- sources,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Gtcrn: A speech enhancement model requiring ultralow computational re- sources,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.534945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8699e186-c463-4c4b-bfa5-51795efa343d · outbound

This paper cites Deep filtering: Signal extraction and reconstruction using complex time-frequency filters,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Deep filtering: Signal extraction and reconstruction using complex time-frequency filters,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:11.536970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f5cbcc1-e40f-4ee7-b325-77d9ecfc989c · outbound

This paper cites Multi-channel multi-frame adl-mvdr for target speech separation,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Multi-channel multi-frame adl-mvdr for target speech separation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.498445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 632c3011-dcdd-4dc5-880a-c76632b18cc1 · outbound

This paper cites A two-stage framework in cross- spectrum domain for real-time speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement A two-stage framework in cross- spectrum domain for real-time speech enhancement,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.468599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fba7c9f0-4e85-45f3-9238-24009a5d9bd5 · outbound

This paper cites Two heads are bet- ter than one: A two-stage complex spectral mapping approach for monaural speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Two heads are bet- ter than one: A two-stage complex spectral mapping approach for monaural speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.436524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6f159b2-ead8-4b3f-82f5-76f789732291 · outbound

This paper cites First coarse, fine afterward: A lightweight two-stage complex approach for monau- ral speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement First coarse, fine afterward: A lightweight two-stage complex approach for monau- ral speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.408274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fa25ea4-59b2-4f3a-bee2-5dbc7fcc4571 · outbound

This paper cites Dual-path trans- former based on efficient channel attention mechanism for speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Dual-path trans- former based on efficient channel attention mechanism for speech enhancement,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.385888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5d3d30f-96c2-457d-8470-01e6ae7c9aa1 · outbound

This paper cites Real and imaginary part interaction network for monaural speech enhancement and de-reverberation,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Real and imaginary part interaction network for monaural speech enhancement and de-reverberation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.365572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c09dc67-260e-4369-a7fd-83789955df9a · outbound

This paper cites Pointwise convolu- tional neural networks,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Pointwise convolu- tional neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.346149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2207b2d3-4987-4dee-82cb-1aab16d5122c · outbound

This paper cites A hybrid dsp/deep learning approach to real-time full-band speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement A hybrid dsp/deep learning approach to real-time full-band speech enhancement,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.304181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7680be6a-1596-4a2f-a2a8-ae4aea16cde0 · outbound

This paper cites an unresolved cited work.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:11.606957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a9c37d-cee8-4b49-a67d-fb955233ebc4 · outbound

This paper cites A convolutional recurrent neural network for real-time speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement A convolutional recurrent neural network for real-time speech enhancement,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.261765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7458b3e3-3ce3-412a-9698-ba80a41da5ef · outbound

This paper cites Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech sepa- ration,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech sepa- ration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.232826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59cbb0a9-f6f5-495d-a8f6-465e3b083e0f · outbound

This paper cites Dpcrn: Dual-path convo- lution recurrent network for single channel speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Dpcrn: Dual-path convo- lution recurrent network for single channel speech enhancement,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.212277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e386d10-a5b0-4bcc-a0ce-06ba24630c24 · outbound

This paper cites Time- frequency attention for monaural speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Time- frequency attention for monaural speech enhancement,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.187540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7fc687ee-3af3-4f94-b902-ca0c17a884ea · outbound

This paper cites Squeeze-and-excitation networks,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Squeeze-and-excitation networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:11.666286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d127a17-814e-4644-bddd-d21519ed0a73 · outbound

This paper cites Inves- tigating rnn-based speech enhancement methods for noise-robust text-to-speech,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Inves- tigating rnn-based speech enhancement methods for noise-robust text-to-speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.145659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c659dada-973d-45fd-9190-96a6ca7d5be8 · outbound

This paper cites Decoupled Weight Decay Regularization.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Decoupled Weight Decay Regularization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:11.684965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7254836-4e81-48df-aae4-2c37317faf49 · outbound

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

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:11.696373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b562a690-0886-4a9a-b090-161f8f8d4ccf · outbound

This paper cites Evaluation of objective quality measures for speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Evaluation of objective quality measures for speech enhancement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.100675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0221ee1a-e8e8-4ad1-afa6-47bcc0ec2664 · outbound

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

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Dccrn: Deep complex convolution recurrent network for phase-aware speech enhancement,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.078356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf6ab63f-a3e7-4680-8323-a1a000ac340e · outbound

This paper cites Full- subnet+: Channel attention fullsubnet with complex spectrograms for speech enhancement,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Full- subnet+: Channel attention fullsubnet with complex spectrograms for speech enhancement,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.032595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c9a3aef-d655-4af7-9f9d-9a9bedbae4f5 · outbound

This paper cites Compnet: Competitive neural network for palmprint recognition using learnable gabor kernels,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Compnet: Competitive neural network for palmprint recognition using learnable gabor kernels,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:12.004485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c015473-a3cb-4dce-9172-12ab3ba68c12 · outbound

This paper cites Real time speech en- hancement in the waveform domain,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Real time speech en- hancement in the waveform domain,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:11.968765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1a3e362-80e5-471f-b9cb-0658fb29392a · outbound

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

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Phasen: A phase-and- harmonics-aware speech enhancement network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:11.946151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1118cf83-9382-4deb-8659-5cec0980678f · outbound

This paper cites Glance and gaze: A col- laborative learning framework for single-channel speech enhance- ment,.

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement Glance and gaze: A col- laborative learning framework for single-channel speech enhance- ment,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:11.920118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 534e4c38-2ea0-4980-8b26-fe70925db5af · inbound