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Paper Citation Record · LEDGER

Neural Kalman Filters for Acoustic Echo Cancellation

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2501.16367.

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

pith.paper-citation-record.v1
2501.16367 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:35:54.174654Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06483857-be84-41bf-adf1-0ff9ab27b294 · outbound

This paper cites Hänsler and G.

Neural Kalman Filters for Acoustic Echo Cancellation Hänsler and G

Reference 1

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verified fuzzy
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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.

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Observation 3d5f697c-8fbc-4ee7-b5d9-5db78fd2ccaf · outbound

This paper cites Analysis and Design of Multirate Systems for Cancellation of Acoustical Echoes,.

Neural Kalman Filters for Acoustic Echo Cancellation Analysis and Design of Multirate Systems for Cancellation of Acoustical Echoes,

Reference 2

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raw_fallback, observed 2026-08-10T16:35:55.049730Z

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.

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Observation f470b80e-5c2e-48a7-af75-cfbb33f2f470 · outbound

This paper cites Acoustic Echo Control: An Application of Very-High-Order Adaptive Filters,.

Neural Kalman Filters for Acoustic Echo Cancellation Acoustic Echo Control: An Application of Very-High-Order Adaptive Filters,

Reference 3

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raw_fallback, observed 2026-08-10T16:35:55.033525Z

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.

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Observation 62844575-fdf1-47a0-a189-b6164f171e8e · outbound

This paper cites Benesty, T.

Neural Kalman Filters for Acoustic Echo Cancellation Benesty, T

Reference 4

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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.

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Observation ade4afe2-77e7-4f19-8db8-7c8dc8e765c8 · outbound

This paper cites Frequency-Domain Adaptive Kalman Filter for Acoustic Echo Control in Hands-Free Telephones,.

Neural Kalman Filters for Acoustic Echo Cancellation Frequency-Domain Adaptive Kalman Filter for Acoustic Echo Control in Hands-Free Telephones,

Reference 5

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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.

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Observation 3d94f453-68f7-43e6-bf8b-0f79f4b2dc62 · outbound

This paper cites Audio Signal Processing in the 21st Century: The Important Outcomes of the Past 25 Years,.

Neural Kalman Filters for Acoustic Echo Cancellation Audio Signal Processing in the 21st Century: The Important Outcomes of the Past 25 Years,

Reference 6

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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.

source=pdf_text observed=2026-08-10T16:35:53.936079Z digest=sha256:3ef04db6fbab8bf0c2bf6de799c6ebc234cdbb2177cac9b865ff80b60f977a1d

Observation 84367779-615c-43a8-8f29-71b9b8c13a3a · outbound

This paper cites AEC in A Netshell: On Target and Topology Choices for FCRN Acoustic Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation AEC in A Netshell: On Target and Topology Choices for FCRN Acoustic Echo Cancellation,

Reference 7

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raw_fallback, observed 2026-08-10T16:35:54.967157Z

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.

source=pdf_text observed=2026-08-10T16:35:53.941613Z digest=sha256:27ab9740e0ff40d35a4076901b03c515091e2f2c12075e4f7e7f4261fdb12395

Observation 41a61f7a-00a3-409e-b6e9-3ffd6bee044b · outbound

This paper cites Y2-Net FCRN for Acoustic Echo and Noise Suppression,.

Neural Kalman Filters for Acoustic Echo Cancellation Y2-Net FCRN for Acoustic Echo and Noise Suppression,

Reference 8

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.951695Z

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.

source=pdf_text observed=2026-08-10T16:35:53.946770Z digest=sha256:dec83438939d4127153b3cf4be072315e4fe5e9bd6e90752bfe238a4229be931

Observation ada25262-ae86-4a2d-85b6-d65d6973178a · outbound

This paper cites Task Splitting for DNN-Based Acoustic Echo and Noise Removal,.

Neural Kalman Filters for Acoustic Echo Cancellation Task Splitting for DNN-Based Acoustic Echo and Noise Removal,

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.936148Z

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.

source=pdf_text observed=2026-08-10T16:35:53.952049Z digest=sha256:71c3e521ab4947ab4cefb222fd4104450413273d348d4e03d2fe6e37a8850aee

Observation 822587e1-70f2-4ec7-bdf7-9135731b83b2 · outbound

This paper cites Efficient Deep Acoustic Echo Suppression with Condition-Aware Training,.

Neural Kalman Filters for Acoustic Echo Cancellation Efficient Deep Acoustic Echo Suppression with Condition-Aware Training,

Reference 10

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raw_fallback, observed 2026-08-10T16:35:54.921200Z

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.

source=pdf_text observed=2026-08-10T16:35:53.956731Z digest=sha256:d1f0a3484427f65e7e0aa31787a06d6110109f8ea52df0778b6fb7d7027685b9

Observation c3464670-7e9b-4719-9212-21e374a72e2f · outbound

This paper cites Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distor- tions,.

Neural Kalman Filters for Acoustic Echo Cancellation Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distor- tions,

Reference 11

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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.

source=pdf_text observed=2026-08-10T16:35:53.961382Z digest=sha256:7b2d0555931f224ca7b0a07c9df439398a35428881eae6bf14a0c986e991ea9b

Observation 86bd0d56-a917-458e-a229-38e3a15b3693 · outbound

This paper cites Low-Complexity, Real-Time Joint Neural Echo Con- trol and Speech Enhancement Based On PercepNet,.

Neural Kalman Filters for Acoustic Echo Cancellation Low-Complexity, Real-Time Joint Neural Echo Con- trol and Speech Enhancement Based On PercepNet,

Reference 12

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raw_fallback, observed 2026-08-10T16:35:54.889397Z

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.

source=pdf_text observed=2026-08-10T16:35:53.966226Z digest=sha256:a080e627bedccce93b482e93bd1f5ec38516dddb5f583f6e7c23f7cfacbf16ae

Observation 4cb174c5-871b-4f0b-9cd8-9092552054c3 · outbound

This paper cites Combining Adaptive Filtering and Complex- Valued Deep Postfiltering for Acoustic Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation Combining Adaptive Filtering and Complex- Valued Deep Postfiltering for Acoustic Echo Cancellation,

Reference 13

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raw_fallback, observed 2026-08-10T16:35:54.872887Z

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.

source=pdf_text observed=2026-08-10T16:35:53.971094Z digest=sha256:7cfcda0bfdc454cec3d70078a16660c8f1533ffe9ccd92ac60a287548e02c142

Observation ebf91908-1d99-4d8b-8a5e-85851573535b · outbound

This paper cites Deep Residual Echo Sup- pression with a Tunable Tradeoff Between Signal Distortion and Echo Suppression,.

Neural Kalman Filters for Acoustic Echo Cancellation Deep Residual Echo Sup- pression with a Tunable Tradeoff Between Signal Distortion and Echo Suppression,

Reference 14

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raw_fallback, observed 2026-08-10T16:35:54.857082Z

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.

source=pdf_text observed=2026-08-10T16:35:53.976207Z digest=sha256:289d08f0ec4c9d33657f26cceed03f3f4d0f110baeee2ac254ab686104ee06f2

Observation ad2e8e02-7636-4e1b-9dc9-594993a3fb5b · outbound

This paper cites KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics,.

Neural Kalman Filters for Acoustic Echo Cancellation KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics,

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.841728Z

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.

source=pdf_text observed=2026-08-10T16:35:53.981194Z digest=sha256:b6a7be38d961c9b734d3614ef9002c6d5be04662b3f6d27fa76c6ea5ae61f041

Observation 0c7da7f5-c935-44d9-a9c6-6855992521dc · outbound

This paper cites Meta-AF: Meta- Learning for Adaptive Filters,.

Neural Kalman Filters for Acoustic Echo Cancellation Meta-AF: Meta- Learning for Adaptive Filters,

Reference 16

Resolution
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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.

source=pdf_text observed=2026-08-10T16:35:53.987231Z digest=sha256:1566d0f007ec0e3d7432b8278017ebca63c242dc9af6bfd71bf86266e9c7fb45

Observation 7cc1e0ec-b4e6-4683-9b7a-2b16889db391 · outbound

This paper cites Bayesian Inference Model for Applications of Time- Varying Acoustic System Identification,.

Neural Kalman Filters for Acoustic Echo Cancellation Bayesian Inference Model for Applications of Time- Varying Acoustic System Identification,

Reference 17

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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.

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Observation 35cfd19c-4c40-4a3d-94e2-cfe0add61559 · outbound

This paper cites Study of the General Kalman Filter for Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation Study of the General Kalman Filter for Echo Cancellation,

Reference 18

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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.

source=pdf_text observed=2026-08-10T16:35:53.997182Z digest=sha256:91e1fe094eada03d9e3fbf11170010e59f1d1c056e06398bfdb2f0ab37d72b44

Observation d9fe055b-ad49-462e-a51c-56ffb5a4bd0e · outbound

This paper cites An Automotive Wideband Stereo Acoustic Echo Canceler Using Frequency- Domain Adaptive Filtering,.

Neural Kalman Filters for Acoustic Echo Cancellation An Automotive Wideband Stereo Acoustic Echo Canceler Using Frequency- Domain Adaptive Filtering,

Reference 19

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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.

source=pdf_text observed=2026-08-10T16:35:54.002675Z digest=sha256:df8f4f028d5c3c024b79d0e58d579717a5a332d1b87a26feea720f79c5f56ddd

Observation f5907ae6-7f30-4c38-96cd-659beee508e3 · outbound

This paper cites Frequency-Domain Adap- tive Kalman Filter with Fast Recovery of Abrupt Echo-Path Changes,.

Neural Kalman Filters for Acoustic Echo Cancellation Frequency-Domain Adap- tive Kalman Filter with Fast Recovery of Abrupt Echo-Path Changes,

Reference 20

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raw_fallback, observed 2026-08-10T16:35:54.765202Z

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.

source=pdf_text observed=2026-08-10T16:35:54.009555Z digest=sha256:8068e199b1adca38b5a738ef7937b8d945417724db5a59b9cde9bce47e22eb54

Observation 4276080f-1899-47c6-864e-b92fcdb9986c · outbound

This paper cites Efficient Nonlinear Acoustic Echo Cancellation by Dual- Stage Multi-Channel Kalman Filtering,.

Neural Kalman Filters for Acoustic Echo Cancellation Efficient Nonlinear Acoustic Echo Cancellation by Dual- Stage Multi-Channel Kalman Filtering,

Reference 21

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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.

source=pdf_text observed=2026-08-10T16:35:54.015867Z digest=sha256:08e09ebd8ab594e4b8c4a57f711e195338458ec0cf77bb230f39e1e8cc9ab38c

Observation 5782ed12-1c5b-48d0-835a-1303686de19b · outbound

This paper cites ICASSP 2023 Acoustic Echo Cancellation Challenge.

Neural Kalman Filters for Acoustic Echo Cancellation ICASSP 2023 Acoustic Echo Cancellation Challenge

Reference 22

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no resolver link, observed 2026-08-10T16:35:54.021290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:35:54.021290Z digest=sha256:6c7844b0247f2f66e28142a8c4707e34cc50d36640237bed4069670583fbe21d

Observation c993c528-f7a2-4be3-b3cc-ec2928709c47 · outbound

This paper cites An Efficient Residual Echo SupressionforMulti-ChannelAcousticEchoCancellationBased on the Frequency-Domain Adaptive Kalman Filter,.

Neural Kalman Filters for Acoustic Echo Cancellation An Efficient Residual Echo SupressionforMulti-ChannelAcousticEchoCancellationBased on the Frequency-Domain Adaptive Kalman Filter,

Reference 23

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raw_fallback, observed 2026-08-10T16:35:54.733600Z

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.

source=pdf_text observed=2026-08-10T16:35:54.026947Z digest=sha256:9d28241f4ca57e829e9c8f14b598597ec01d4927114240709ab8557945cce81d

Observation cd9b7f32-e062-4885-83e8-dd04a7a3b38a · outbound

This paper cites Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control,.

Neural Kalman Filters for Acoustic Echo Cancellation Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control,

Reference 24

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.718199Z

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.

source=pdf_text observed=2026-08-10T16:35:54.032359Z digest=sha256:947cf8ab31b05816b02b061406528c1f673441f7278d1c9c13fe3414e179c7d3

Observation a029084a-ed3b-435f-a761-247e1dbd0c2a · outbound

This paper cites Haykin, Adaptive Filter Theory.

Neural Kalman Filters for Acoustic Echo Cancellation Haykin, Adaptive Filter Theory

Reference 25

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raw_fallback, observed 2026-08-10T16:35:54.701375Z

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.

source=pdf_text observed=2026-08-10T16:35:54.037322Z digest=sha256:34f4fae51400d159cf42e690bd901ee822463a15a7c98e147debc6df920412a7

Observation 248cb27b-d893-4da7-b664-d21e3b23863f · outbound

This paper cites an unresolved cited work.

Neural Kalman Filters for Acoustic Echo Cancellation Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-10T16:35:54.684309Z

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.

source=pdf_text observed=2026-08-10T16:35:54.042739Z digest=sha256:179af8cf0c084a1fa865abc08f8ca6d7f0e4b6dc9f4f597b70509d8564a671ad

Observation 33e3b352-f34d-4397-a6f3-25d74e318e0c · outbound

This paper cites Vary and R.

Neural Kalman Filters for Acoustic Echo Cancellation Vary and R

Reference 27

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.666986Z

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.

source=pdf_text observed=2026-08-10T16:35:54.047576Z digest=sha256:d78535826a2320858b57d1e39832f8055727491ba47b9abd86c4893f29f4d08b

Observation 7122078e-543a-4dc9-8527-61bfa4d0767f · outbound

This paper cites an unresolved cited work.

Neural Kalman Filters for Acoustic Echo Cancellation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:35:54.650485Z

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.

source=pdf_text observed=2026-08-10T16:35:54.052402Z digest=sha256:97a02c248848b13b25cf65908ccec6421715811c09a59dec60201c7cb2778c04

Observation 8f01407b-54b8-4af5-87c1-d893a0e108af · outbound

This paper cites Recursive Bayesian Control of Multi- channel Acoustic Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation Recursive Bayesian Control of Multi- channel Acoustic Echo Cancellation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.633060Z

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.

source=pdf_text observed=2026-08-10T16:35:54.057502Z digest=sha256:591da832409671ce80989e69844fb3397bd86ed36a2229a413623a94e9be9b88

Observation 6bf95a81-927f-4008-a62a-43d25d55ac93 · outbound

This paper cites Fast Implementation of LMS Adaptive Filters,.

Neural Kalman Filters for Acoustic Echo Cancellation Fast Implementation of LMS Adaptive Filters,

Reference 30

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.612654Z

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.

source=pdf_text observed=2026-08-10T16:35:54.062296Z digest=sha256:c12ecb7f1f306d8c51372cb1436ef1ef5d6f52b97995722f78f22fd08eb0be1a

Observation 3a08884d-5bc9-44a4-b3d0-c9b3b88c4a8e · outbound

This paper cites State-Space Architec- ture of the Partitioned-Block-Based Acoustic Echo Controller,.

Neural Kalman Filters for Acoustic Echo Cancellation State-Space Architec- ture of the Partitioned-Block-Based Acoustic Echo Controller,

Reference 31

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.595926Z

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.

source=pdf_text observed=2026-08-10T16:35:54.067108Z digest=sha256:0d7467962392cb3bfd5c72bd880bbc9b1fdb2bbdf1e579a8b8eeb8825af497e2

Observation bc882e1f-88bf-41c0-99bb-5e48859d9bc7 · outbound

This paper cites End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation,

Reference 32

Resolution
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raw_fallback, observed 2026-08-10T16:35:54.579623Z

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.

source=pdf_text observed=2026-08-10T16:35:54.071988Z digest=sha256:9bc98167c64f081abe760df3f4b38bfd346e36c45a8426ff8cbd0930b1a25306

Observation 5a2e5738-c2a3-4b46-8ccf-f8d880101ad0 · outbound

This paper cites Low- Complexity Acoustic Echo Cancellation with Neural Kalman Filtering,.

Neural Kalman Filters for Acoustic Echo Cancellation Low- Complexity Acoustic Echo Cancellation with Neural Kalman Filtering,

Reference 33

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raw_fallback, observed 2026-08-10T16:35:54.563376Z

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.

source=pdf_text observed=2026-08-10T16:35:54.076849Z digest=sha256:866b6510c5d26c1d4c7390ae940a243e6553dc5ba39a4f2228be5d9ecf38ffae

Observation e11d8455-ef82-4759-91c1-706478918fd7 · outbound

This paper cites NeuralKalman: A Learnable Kalman Filter for Acoustic Echo Cancellation.

Neural Kalman Filters for Acoustic Echo Cancellation NeuralKalman: A Learnable Kalman Filter for Acoustic Echo Cancellation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T16:35:54.081655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:35:54.081655Z digest=sha256:b042b734543ee3b346c2a85450d593057a91cc99e638a808c2cfb8786a32ce73

Observation ae847a40-4dcc-445c-a96e-741c3d581420 · outbound

This paper cites DeepAdaptiveAEC:HybridofDeepLearning and Adaptive Acoustic Echo Cancellation,.

Neural Kalman Filters for Acoustic Echo Cancellation DeepAdaptiveAEC:HybridofDeepLearning and Adaptive Acoustic Echo Cancellation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.547131Z

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.

source=pdf_text observed=2026-08-10T16:35:54.087215Z digest=sha256:47da4b46ae2362ca37d218a93e8f5845ac6c255b98f5980fa9c663ff25d0639b

Observation 5b0b5c0e-3341-47aa-8d3b-576d61a341e8 · outbound

This paper cites Deep Filtering: Signal Ex- traction and Reconstruction Using Complex Time-Frequency Filters,.

Neural Kalman Filters for Acoustic Echo Cancellation Deep Filtering: Signal Ex- traction and Reconstruction Using Complex Time-Frequency Filters,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.531337Z

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.

source=pdf_text observed=2026-08-10T16:35:54.092353Z digest=sha256:7c6e06668a837f6b6d77dbc366df54283e979500298b39d4862572b29ac29214

Observation b406f62c-ac50-4b9f-b77e-3baa37805160 · outbound

This paper cites AECMOS: A Speech Quality Assessment Metric for Echo Impairment,.

Neural Kalman Filters for Acoustic Echo Cancellation AECMOS: A Speech Quality Assessment Metric for Echo Impairment,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.514393Z

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.

source=pdf_text observed=2026-08-10T16:35:54.098226Z digest=sha256:ed757cb550de9e6e55f50f91d2ecd9b07c3c575502cad78e5f1ce627a41ffd6b

Observation 72425d20-72d7-47dd-998a-8f2d99266478 · outbound

This paper cites P.862.2 Corrigendum 1: Wideband Extension to Rec.

Neural Kalman Filters for Acoustic Echo Cancellation P.862.2 Corrigendum 1: Wideband Extension to Rec

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.495032Z

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.

source=pdf_text observed=2026-08-10T16:35:54.103556Z digest=sha256:dddc4189e9dd545caf56a314e3056ce1e5bd5269e0269d1660415e6961608206

Observation 5529cf7e-c755-4fbd-ba58-82076dfe999f · outbound

This paper cites An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech,.

Neural Kalman Filters for Acoustic Echo Cancellation An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.479324Z

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.

source=pdf_text observed=2026-08-10T16:35:54.108729Z digest=sha256:cdc7fe515fe44ec2b24db69681d7e849ba58c22154f2bdf7d31ee295b6098e8e

Observation f20d9635-b43e-40c4-83cf-45ff39da1f82 · outbound

This paper cites PyTorch: An Imperative Style, High- Performance Deep Learning Library,.

Neural Kalman Filters for Acoustic Echo Cancellation PyTorch: An Imperative Style, High- Performance Deep Learning Library,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.463016Z

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.

source=pdf_text observed=2026-08-10T16:35:54.114088Z digest=sha256:ba552cc4510d6c1979f495c93375584536e98e9bdbe12ffc8a953794f5c3f8a8

Observation 4a76fee8-bf7e-4290-b073-c75588e3e7d5 · outbound

This paper cites CSTR VCTK Corpus: English Multi-Speaker Corpus for CSTR Voice Cloning Toolkit.

Neural Kalman Filters for Acoustic Echo Cancellation CSTR VCTK Corpus: English Multi-Speaker Corpus for CSTR Voice Cloning Toolkit

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.447129Z

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.

source=pdf_text observed=2026-08-10T16:35:54.119185Z digest=sha256:610ef8d5b997f29cbb6f762929585e94a7e2f40bea10b54856ee43e6788f9958

Observation ae0cba97-cab9-4df1-b988-a3bfacb2e197 · outbound

This paper cites Tutorial: Loudspeaker Nonlinearities – Causes, Parameters, Symptoms,.

Neural Kalman Filters for Acoustic Echo Cancellation Tutorial: Loudspeaker Nonlinearities – Causes, Parameters, Symptoms,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.430515Z

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.

source=pdf_text observed=2026-08-10T16:35:54.124186Z digest=sha256:683f1683c2f15ab919073d48b4d491651b9e72ecc011fd18aaa5379507e48cd5

Observation 051ac980-97ac-4627-a3fd-314beba77aa2 · outbound

This paper cites The Diverse Environ- ments Multi-Channel Acoustic Noise Database: A Database of Multichannel Environmental Noise Recordings,.

Neural Kalman Filters for Acoustic Echo Cancellation The Diverse Environ- ments Multi-Channel Acoustic Noise Database: A Database of Multichannel Environmental Noise Recordings,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.414260Z

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.

source=pdf_text observed=2026-08-10T16:35:54.129078Z digest=sha256:8a51cd05e18637206c7f9fb63f361cf90185848b09cd5e1408df61c4cbdf58ae

Observation a25c92e5-1590-4cd3-9048-5c90f020912f · outbound

This paper cites The QUT-NOISE-TIMIT Corpus for the Evaluation of Voice Activ- ity Detection Algorithms,.

Neural Kalman Filters for Acoustic Echo Cancellation The QUT-NOISE-TIMIT Corpus for the Evaluation of Voice Activ- ity Detection Algorithms,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.397255Z

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.

source=pdf_text observed=2026-08-10T16:35:54.134152Z digest=sha256:83464e0be354ef4b55356c350020dbf73a36da833f65ea7bcc1a104d7208a164

Observation 01138199-61d9-4a91-aa5c-f5c941a1d0ca · outbound

This paper cites Adam: A Method for Stochastic Optimization,.

Neural Kalman Filters for Acoustic Echo Cancellation Adam: A Method for Stochastic Optimization,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.380591Z

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.

source=pdf_text observed=2026-08-10T16:35:54.139922Z digest=sha256:b91702def8dba44c1df05d524d2a69cdd5c2d6b0a783f7639c8b876acdb4eeff

Observation 3c463fe2-336f-4256-b0e8-3f61bb20ac6f · outbound

This paper cites TIMIT Acoustic-Phonetic Continous Speech Corpus.

Neural Kalman Filters for Acoustic Echo Cancellation TIMIT Acoustic-Phonetic Continous Speech Corpus

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.363862Z

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.

source=pdf_text observed=2026-08-10T16:35:54.144715Z digest=sha256:9c4f9132e1005f592c3532d55382a341234013c274adc545b4bfe25d784a9544

Observation 41e9071d-3b0c-4398-8ba8-e2bb6d88df7e · outbound

This paper cites Do We Need Dereverberation for Hand-Held Telephony?,.

Neural Kalman Filters for Acoustic Echo Cancellation Do We Need Dereverberation for Hand-Held Telephony?,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.345488Z

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.

source=pdf_text observed=2026-08-10T16:35:54.149876Z digest=sha256:e71a905575295d4399f7d301e1478b88e78fbddc8c03a73388d22ac188918ea3

Observation 93e23845-5096-4189-8bda-5db15a1eb6eb · outbound

This paper cites an unresolved cited work.

Neural Kalman Filters for Acoustic Echo Cancellation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:35:54.328572Z

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.

source=pdf_text observed=2026-08-10T16:35:54.154931Z digest=sha256:51085e329190e9219c92f809a2d6c961fa3eb6ffb3c17215d65c53587123a224

Observation db8b08e0-46e5-47a1-8656-ffa79133124c · outbound

This paper cites Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios,.

Neural Kalman Filters for Acoustic Echo Cancellation Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.312041Z

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.

source=pdf_text observed=2026-08-10T16:35:54.160052Z digest=sha256:d9c6cf8085ffd53f0eb4ead208ee306acaa9e488ce6f522c7e344c05ba2ce5c5

Observation cfaddb91-45ce-4960-b249-ea37ba1d85bf · outbound

This paper cites Evaluation Metrics for Gener- ative Speech Enhancement Methods: Issues and Perspectives,.

Neural Kalman Filters for Acoustic Echo Cancellation Evaluation Metrics for Gener- ative Speech Enhancement Methods: Issues and Perspectives,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.295563Z

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.

source=pdf_text observed=2026-08-10T16:35:54.165061Z digest=sha256:771d4f1c6f3053172af0fbb0bfada3ab0ce287d4c4728e919a82854cb20210ae

Observation 8abd1bc7-476f-4e92-add0-91a2421cfbb3 · outbound

This paper cites Double-Talk Detection- Aided Residual Echo Suppression via Spectrogram Masking and Refinement,.

Neural Kalman Filters for Acoustic Echo Cancellation Double-Talk Detection- Aided Residual Echo Suppression via Spectrogram Masking and Refinement,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:35:54.277938Z

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.

source=pdf_text observed=2026-08-10T16:35:54.170093Z digest=sha256:6a6e25ac2cce5155ebd282ac6d8db90666ae434528711ac81537e9e90f9868f2

Observation ac6701ff-6fa3-40ee-abd3-1a650881f487 · outbound

This paper cites Scaling Up Adaptive Filter Optimizers.

Neural Kalman Filters for Acoustic Echo Cancellation Scaling Up Adaptive Filter Optimizers

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:35:54.225181Z

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.

source=pdf_text observed=2026-08-10T16:35:54.174654Z digest=sha256:09a6e58fe21b4d74cc799ae73ff69de5b5ad3fbf0db68c655ba75a56c6fb47a2

Pith citing papers

No inbound Pith citation observations are available.