Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance | Paper Citation Record

Observation 260285a3-72e7-4d2c-85ca-05027df6e27d · outbound

This paper cites Neural target speech extraction: An overview,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Neural target speech extraction: An overview,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:10.350563Z

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Observation db84272c-14ef-4ef1-a701-4163af6c4c7d · outbound

This paper cites Multi-channel speech separation using spatially selective deep non-linear filters,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Multi-channel speech separation using spatially selective deep non-linear filters,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:10.092496Z

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Observation f05c6cb1-a7f7-4de3-b9ba-66ebcdb40e73 · outbound

This paper cites Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:09.904931Z

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Observation 8e372d34-85be-4419-9f42-a17d203e96f6 · outbound

This paper cites Spatially selective speaker separation using a DNN with a location dependent feature extraction,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Spatially selective speaker separation using a DNN with a location dependent feature extraction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:09.704989Z

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Observation 4beb30a5-e517-4188-b9c2-b3a3dafaa2f7 · outbound

This paper cites All neural low-latency directional speech extraction,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance All neural low-latency directional speech extraction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:09.514203Z

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Observation e2e0821f-bbd5-450c-b187-2c16921cf118 · outbound

This paper cites ReZero: Region-customizable sound extraction,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance ReZero: Region-customizable sound extraction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:09.326567Z

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Observation 83f5d554-d30f-4833-bc0d-828572a3ed78 · outbound

This paper cites Continuous speech separation: Dataset and analysis,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Continuous speech separation: Dataset and analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:09.128217Z

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Observation c0f5225e-e54d-4d1b-b8d6-6e616963ea19 · outbound

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

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance The fifth ’CHiME’ speech separation and recognition challenge: Dataset, task and baselines,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.910516Z

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Observation 9c70f0bf-8524-4f58-b6f2-287d579b64ab · outbound

This paper cites Steering deep non-linear spatially selective filters for weakly guided extraction of moving speakers in dynamic scenarios,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Steering deep non-linear spatially selective filters for weakly guided extraction of moving speakers in dynamic scenarios,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.775238Z

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Observation 36f28812-c758-48f1-8e4b-e60ef956513c · outbound

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

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance A convolutional recurrent neural network for real-time speech enhancement,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.691311Z

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Observation 41be6765-adb9-4a2b-84a6-0cea3909473b · outbound

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

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Real time speech enhancement in the waveform domain,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.611989Z

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Observation 7377eb32-b0a5-49d3-b8cf-3fdc26daebe2 · outbound

This paper cites Towards efficient models for real-time deep noise suppression,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Towards efficient models for real-time deep noise suppression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.520696Z

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Observation 1357d607-2b77-4702-b21f-1e39aca8c0eb · outbound

This paper cites Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.430878Z

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Observation f149deb2-400f-4caf-8f87-3e6cbf4937e7 · outbound

This paper cites An investigation of incorporating Mamba for speech enhancement,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance An investigation of incorporating Mamba for speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.347145Z

Source-reported events for the cited work

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Observation 8dd232cd-9604-496d-884d-06f20215adb2 · outbound

This paper cites Iterative autoregression: A novel trick to improve your low-latency speech enhancement model,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Iterative autoregression: A novel trick to improve your low-latency speech enhancement model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.271650Z

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Observation 7d97193b-10db-4416-8ef1-caee19e73912 · outbound

This paper cites PARIS: Pseudo-autoregressive siamese training for online speech separation,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance PARIS: Pseudo-autoregressive siamese training for online speech separation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.188192Z

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Observation 16dccd7a-07ec-4abc-ae5d-fba5397100a9 · outbound

This paper cites Nonlinear filtering for speaker tracking in noisy and reverberant environments,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Nonlinear filtering for speaker tracking in noisy and reverberant environments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:08.086459Z

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Observation a4c8dc33-19da-4360-b5c7-690b58c1732c · outbound

This paper cites Particle filtering algorithms for tracking an acoustic source in a reverberant environment,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Particle filtering algorithms for tracking an acoustic source in a reverberant environment,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.974818Z

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Observation 2fb6ee61-d180-45d4-a0b3-91b95947f67f · outbound

This paper cites Particle filter algorithm for DoA tracking using co-prime array,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Particle filter algorithm for DoA tracking using co-prime array,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.858354Z

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Observation d68ae2e4-713a-45d6-beec-16e0ab12b8cc · outbound

This paper cites Hagiwara, Time series analysis for the state-space model with R/Stan.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Hagiwara, Time series analysis for the state-space model with R/Stan

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.754666Z

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Observation 3331163d-7c6b-4aec-acda-9cda746d75d1 · outbound

This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.665093Z

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Observation efc223bb-6ac4-421e-85d1-841998a30e9e · outbound

This paper cites Real-time speaker tracking using particle filter sensor fusion,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Real-time speaker tracking using particle filter sensor fusion,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.524153Z

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Observation 4f7949bf-61d3-441d-a399-809ce5300abc · outbound

This paper cites Novel approach to nonlinear/non- Gaussian Bayesian state estimation,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Novel approach to nonlinear/non- Gaussian Bayesian state estimation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.379863Z

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Observation 067c3902-7c7e-4b6c-a63b-f755d42546ea · outbound

This paper cites Relationship between vertical ground reaction force and speed during walking, slow jogging, and running,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Relationship between vertical ground reaction force and speed during walking, slow jogging, and running,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.231964Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdfe4f4d-43e3-4c15-b6f2-0939fb0b82e4 · outbound

This paper cites Outdoor walking speeds of apparently healthy adults: A systematic review and meta-analysis,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Outdoor walking speeds of apparently healthy adults: A systematic review and meta-analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:07.084367Z

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Observation 5c22ae95-7bf8-45d5-89c1-40128fec28eb · outbound

This paper cites GCC-Speaker: Target speaker localization with optimal speaker-dependent weighting in multi-speaker scenarios,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance GCC-Speaker: Target speaker localization with optimal speaker-dependent weighting in multi-speaker scenarios,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.972193Z

Source-reported events for the cited work

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Observation 600f57c5-b157-4e26-b14b-3703eba3aebc · outbound

This paper cites LocSelect: Target speaker localization with an auditory selective hearing mechanism,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance LocSelect: Target speaker localization with an auditory selective hearing mechanism,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.870178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 078ce7cb-9c36-4511-96bc-901f1ca0ffd9 · outbound

This paper cites Robust frame-level speaker localization in reverberant and noisy en- vironments by exploiting phase difference losses,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Robust frame-level speaker localization in reverberant and noisy en- vironments by exploiting phase difference losses,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.735203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 998044b6-d922-4461-bf59-f4f8ebab06cf · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Librispeech: An ASR corpus based on public domain audio books,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.612796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16cbab46-d3b7-441f-b148-4ac9e4925e1b · outbound

This paper cites Librimix: An open-source dataset for generalizable speech separation,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Librimix: An open-source dataset for generalizable speech separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.437278Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdda57cb-c3e7-48e0-b04a-1fb8a9bc39a2 · outbound

This paper cites gpuRIR: A Python library for room impulse response simulation with GPU acceleration,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance gpuRIR: A Python library for room impulse response simulation with GPU acceleration,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.255200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fff07c9-d73c-494d-a844-7927f3007776 · outbound

This paper cites Image method for efficiently simulating small- room acoustics,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Image method for efficiently simulating small- room acoustics,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:06.114719Z

Source-reported events for the cited work

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Observation 78964849-1e23-48a8-8167-0b5cd0b418b1 · outbound

This paper cites On the role of spatial, spectral, and temporal processing for DNN-based non-linear multi- channel speech enhancement,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance On the role of spatial, spectral, and temporal processing for DNN-based non-linear multi- channel speech enhancement,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.972577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2535f856-f222-486a-b984-66d00d679ef3 · outbound

This paper cites Insights into deep non-linear filters for improved multi-channel speech enhancement,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Insights into deep non-linear filters for improved multi-channel speech enhancement,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.812012Z

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Observation a0640f27-b965-4998-b170-d142256699b1 · outbound

This paper cites Spatially selective deep non-linear filters for speaker extraction,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Spatially selective deep non-linear filters for speaker extraction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.661156Z

Source-reported events for the cited work

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Observation 211f1e27-d9b0-48d0-bb05-0400df97c04f · outbound

This paper cites Survey of maneuvering target tracking. Part I. Dynamic models,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Survey of maneuvering target tracking. Part I. Dynamic models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.507238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97a8b9ee-e009-4599-a7b4-77510e06ec8a · outbound

This paper cites Accurate adaptive filtering in square-root Hann windowed short-time fourier transform domain,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Accurate adaptive filtering in square-root Hann windowed short-time fourier transform domain,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.430414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee9f1e1b-d20d-47b2-af0c-68824851da80 · outbound

This paper cites Generating sensor signals in isotropic noise fields,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Generating sensor signals in isotropic noise fields,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.407497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4e678da-df71-469b-a28f-216e915993f1 · outbound

This paper cites Fairbanks, V oice and Articulation Drillbook.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Fairbanks, V oice and Articulation Drillbook

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.375999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 163a329f-dd06-4dc6-b5df-8aa57d534a9a · outbound

This paper cites Neural directional filtering: Far-field directivity control with a small microphone array,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Neural directional filtering: Far-field directivity control with a small microphone array,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.346822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d89cd9e5-c311-48e8-b42f-fb41c58a615b · outbound

This paper cites Spatially constrained vs. unconstrained filtering in neural spatiospectral filters for multichannel speech enhance- ment,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Spatially constrained vs. unconstrained filtering in neural spatiospectral filters for multichannel speech enhance- ment,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.317557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0246ce45-d8b6-41d9-84d8-119dbee7b039 · outbound

This paper cites Utilizing head rotation data in DNN-based multi-channel speech enhancement for hearing aids,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Utilizing head rotation data in DNN-based multi-channel speech enhancement for hearing aids,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.285580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 211b00c7-f47d-4aa7-a0d4-f8a5145d5433 · outbound

This paper cites Particle filter with integrated voice activity detection for acoustic source tracking,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Particle filter with integrated voice activity detection for acoustic source tracking,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.253989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df47fe45-db3d-439d-81d4-dd444f670bce · outbound

This paper cites Doucet, N.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Doucet, N

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.221025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8aaedc16-3355-4311-89f9-d22ef85fc718 · outbound

This paper cites Particle filter networks with application to visual localization,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Particle filter networks with application to visual localization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.191829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b14f4765-f44f-4452-9964-22e96c4690ce · outbound

This paper cites A wrapped Kalman filter for azimuthal speaker tracking,.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance A wrapped Kalman filter for azimuthal speaker tracking,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.166375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a19fecf4-fe7a-4581-a61a-ac3bcade1ae6 · outbound

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

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.144009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 987b1f79-5993-4aa3-ba3e-f53101daaeb7 · outbound

This paper cites SDR – Half- baked or well done?.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance SDR – Half- baked or well done?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:28:05.126182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 077f8369-e5bf-44e9-827e-6f8abc59379a · outbound

This paper cites LibriMix: An Open-Source Dataset for Generalizable Speech Separation.

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T20:28:04.990163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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