Paper Citation Record · LEDGER

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.02710.

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

pith.paper-citation-record.v1
1908.02710 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:03:47.245659Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact2
verified fuzzy31
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 096f2bc7-420f-4786-b841-efbb83ca9d35 · outbound

This paper cites Acoustic beamf orming for speaker diarization of meetings,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Acoustic beamf orming for speaker diarization of meetings,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.506873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d3633c9-3003-4af9-841c-7778f87f12af · outbound

This paper cites an unresolved cited work.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:03:47.499494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e56b7d6-3a88-42a9-9b38-74602fc4e4ca · outbound

This paper cites Resolving power and sensitivity to mismatch of o ptimum array processors,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Resolving power and sensitivity to mismatch of o ptimum array processors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.492286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42b5135b-ee5e-4b3e-a304-e2c674d00ec3 · outbound

This paper cites Online MVDR beamformer based on complex Gaussian mixture model with spatial prior for noise robust A SR,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Online MVDR beamformer based on complex Gaussian mixture model with spatial prior for noise robust A SR,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.485004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3886d98-b0ee-483d-baf8-b29b51162af1 · outbound

This paper cites Improved MVDR beamforming using single-channel mask prediction networks,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Improved MVDR beamforming using single-channel mask prediction networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.478456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae5418a3-e77a-453b-bc44-303996528bdf · outbound

This paper cites Distortionless beamforming optimized with l1-norm minimization,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Distortionless beamforming optimized with l1-norm minimization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.471731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2af8940-cf4d-46f8-95a6-01bb9a09b9ef · outbound

This paper cites Blind acoustic beamform ing based on generalized eigenvalue decomposition,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Blind acoustic beamform ing based on generalized eigenvalue decomposition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.464363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b97b09de-c21e-4221-aa76-c4bf2e349384 · outbound

This paper cites Blind speech separat ion in a meeting situation with maximum SNR beamformer,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Blind speech separat ion in a meeting situation with maximum SNR beamformer,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.457094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ca470f1-6531-442a-8403-5a2b7d428b88 · outbound

This paper cites Beamnet: end-to-end training of a beamformer-supported multichannel ASR system,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Beamnet: end-to-end training of a beamformer-supported multichannel ASR system,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.449857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16b2823a-f6a5-4cf9-8fb3-aa4388ca926d · outbound

This paper cites Speech dereverberation based on variance-normalized delayed linear prediction,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Speech dereverberation based on variance-normalized delayed linear prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.442535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62d63fa2-4e99-45dd-a750-8aa5c7886588 · outbound

This paper cites Generalization of multi- channel linear prediction methods for blind MIMO impulse response shorten ing,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Generalization of multi- channel linear prediction methods for blind MIMO impulse response shorten ing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.435422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad0c7bd0-15aa-4365-8854-9fb3017b0b77 · outbound

This paper cites Adaptive dereverberation of speech signals with speaker-position change detection,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Adaptive dereverberation of speech signals with speaker-position change detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.427634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e6df009-86e0-4c45-bca3-81df36f6d6b3 · outbound

This paper cites Multi-channel linear prediction- based speech dereverberation with sparse priors,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Multi-channel linear prediction- based speech dereverberation with sparse priors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.421655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb948cde-6aa7-4e60-8a17-583cc2d2f915 · outbound

This paper cites Speech dereverberatio n based on convex optimization algorithms for group sparse linear pre diction,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Speech dereverberatio n based on convex optimization algorithms for group sparse linear pre diction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.415542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5656d95-6b8e-4b20-a875-be1dbad63bde · outbound

This paper cites Strategies for distant speech recognition in reverberant environments,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Strategies for distant speech recognition in reverberant environments,

Reference 15

Resolution: verified exact; doi, observed 2026-08-14T15:03:47.276009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c81814a-a708-452a-a9eb-9ac4c88eeee4 · outbound

This paper cites Dereverberation with differential microphone arrays and the weighted-prediction-error method,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Dereverberation with differential microphone arrays and the weighted-prediction-error method,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.408833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cab8e821-b03c-4d4c-b6b9-214b1594584d · outbound

This paper cites Multichannel online speech dereverberati on under noisy environments,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Multichannel online speech dereverberati on under noisy environments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.401709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e86d4d4b-7bdf-487c-9848-9173d87aaaff · outbound

This paper cites Integrating neural network based beamforming and weighted prediction error dereverberatio n,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Integrating neural network based beamforming and weighted prediction error dereverberatio n,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.394719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33dfb69f-c40a-4f69-acab-33d39a794372 · outbound

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

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech process- ing research,

Reference 19

Resolution: verified exact; doi, observed 2026-08-14T15:03:47.267307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a418869-6e1b-4878-91c8-2686adf171da · outbound

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

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.387803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7403981-9b20-4f5d-81da-6e221b305870 · outbound

This paper cites CHiME4 Challenge,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation CHiME4 Challenge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.380494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 413b2c59-1243-45ef-9e0c-ed2147a727a7 · outbound

This paper cites CHiME5 Challen ge,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation CHiME5 Challen ge,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.373527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54f8d43e-6185-4bc0-8ee9-66f96b565f2e · outbound

This paper cites Acoustic modeling for Google Home,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Acoustic modeling for Google Home,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.366505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f72d2be-ec9b-4eaf-b3e4-c2658493995d · outbound

This paper cites Opti mizing Siri on HomePod in far-ﬁeld settings,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Opti mizing Siri on HomePod in far-ﬁeld settings,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.359226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4be06358-c66c-467a-9840-a66c25c1fbba · outbound

This paper cites Speech processing for digital home assistants,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Speech processing for digital home assistants,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.352872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07707c5e-24bb-4915-b0a0-f681589edac7 · outbound

This paper cites A uniﬁed convolutional b eamformer for simultaneous denoising and dereverberation,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation A uniﬁed convolutional b eamformer for simultaneous denoising and dereverberation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.346442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 146846d5-2d35-4857-994c-e0279f552dd9 · outbound

This paper cites Joint multi-microphone speech derever- beration and noise reduction using integrated sidelobe can cellation and linear prediction,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Joint multi-microphone speech derever- beration and noise reduction using integrated sidelobe can cellation and linear prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.339662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1df8b5a-24db-4b89-b7af-ef002b45d319 · outbound

This paper cites Blind speech dereverberation with multi-channel linear prediction based on short time Fourie r transform representation,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Blind speech dereverberation with multi-channel linear prediction based on short time Fourie r transform representation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.332060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 928e5767-65fe-49d4-bc3a-b139ae6f3c4b · outbound

This paper cites On the importance of early reﬂections for speech in rooms,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation On the importance of early reﬂections for speech in rooms,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.323173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2475c30-a71c-4762-8999-6eed4119d89f · outbound

This paper cites Inverses of 2 x 2 block matrice s,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Inverses of 2 x 2 block matrice s,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.315525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee8bd31a-8363-4f1d-b5a4-05572b2651fa · outbound

This paper cites Probabilistic spatial dictionary based online adaptive beamforming for meeting recognition in noisy and r everberant environments,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Probabilistic spatial dictionary based online adaptive beamforming for meeting recognition in noisy and r everberant environments,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.307411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f46c445-85b2-41c2-81d4-f41e23ae8ac2 · outbound

This paper cites Performance analys is of the covariance subtraction method for relative transfer funct ion estimation and comparison to the covariance whitening method,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Performance analys is of the covariance subtraction method for relative transfer funct ion estimation and comparison to the covariance whitening method,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.298502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3cd2ed9-4098-40cf-aef3-3e4cbc981129 · outbound

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

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation Evaluation of objective quality measures for speech enhancement,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.290244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 31c160de-db3f-417a-a11a-0582bdf303ec · outbound

This paper cites The Kaldi speech recognition toolkit,.

Maximum likelihood convolutional beamformer for simultaneous denoising and dereverberation The Kaldi speech recognition toolkit,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:03:47.282754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.