Paper Citation Record · LEDGER

Improving multichannel speech enhancement through accurate room-acoustic simulations

As of 1 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2606.31552.

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

pith.paper-citation-record.v1
2606.31552 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:37:34.698623Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:37:34.698623Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T11:55:42.473202Z

Reference resolution

52 of 52 outbound references displayed

verified exact3
verified fuzzy48
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4b6040d-c8f6-4a61-b0d4-898464a15d5e · outbound

This paper cites However, this interaction frequently occurs in acous- tically complex environments.

Improving multichannel speech enhancement through accurate room-acoustic simulations However, this interaction frequently occurs in acous- tically complex environments

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.682111Z

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Observation 15f48477-71a8-4862-b5bc-d1a056ed47dc · outbound

This paper cites Improving multichannel speech enhancement through accurate room-acoustic simulations.

Improving multichannel speech enhancement through accurate room-acoustic simulations Improving multichannel speech enhancement through accurate room-acoustic simulations

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T11:55:42.478051Z

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Observation b5c4f3fa-5201-420d-b06e-42bae8e264c3 · outbound

This paper cites Network configuration We train SpatialNet [5] to investigate the relationship be- tween room-acoustic simulation accuracy and neural network downstream performance.

Improving multichannel speech enhancement through accurate room-acoustic simulations Network configuration We train SpatialNet [5] to investigate the relationship be- tween room-acoustic simulation accuracy and neural network downstream performance

Reference 3

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Observation b7ad69de-e005-48ef-b64a-6a43ba60f362 · outbound

This paper cites Figure 2 shows the me- dian WER of all models under the investigated overlap con- ditions, with bootstrapped 95 % confidence intervals.

Improving multichannel speech enhancement through accurate room-acoustic simulations Figure 2 shows the me- dian WER of all models under the investigated overlap con- ditions, with bootstrapped 95 % confidence intervals

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.851611Z

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Observation dce75e04-9787-4dc1-9cfe-904aaee09f1a · outbound

This paper cites an unresolved cited work.

Improving multichannel speech enhancement through accurate room-acoustic simulations Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-07T01:43:09.800200Z

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Observation bbdcb9de-802f-4276-bdaf-d72cb91d0939 · outbound

This paper cites All AI-assisted content was reviewed and re- vised by the authors to ensure accuracy and clarity of meaning.

Improving multichannel speech enhancement through accurate room-acoustic simulations All AI-assisted content was reviewed and re- vised by the authors to ensure accuracy and clarity of meaning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.797170Z

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Observation 3f5bb617-0b6a-4114-95aa-14126379e058 · outbound

This paper cites A fully convolutional neural network for speech enhancement,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A fully convolutional neural network for speech enhancement,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.803056Z

Source-reported events for the cited work

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Observation 621954f5-24dd-4976-8dc8-2d9f7a63d03b · outbound

This paper cites Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.816212Z

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Observation 5418a4ea-ac6a-4120-b358-bb6a34cd5df3 · outbound

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

Improving multichannel speech enhancement through accurate room-acoustic simulations Supervised speech separation based on deep learning: An overview,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.819598Z

Source-reported events for the cited work

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Observation 03eeaf57-00ff-4927-a1dc-648202a8961e · outbound

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

Improving multichannel speech enhancement through accurate room-acoustic simulations DeepFilterNet: A low complexity speech enhancement frame- work for full-band audio based on deep filtering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.789116Z

Source-reported events for the cited work

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Observation cdef8812-0197-4b93-b3dd-0119b692bbda · outbound

This paper cites SpatialNet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,.

Improving multichannel speech enhancement through accurate room-acoustic simulations SpatialNet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.794737Z

Source-reported events for the cited work

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Observation 2b0a21e4-34ae-472c-90b6-1f2502e34867 · outbound

This paper cites Microphone array signal processing and deep learn- ing for speech enhancement: Combining model-based and data- driven approaches to parameter estimation and filtering,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Microphone array signal processing and deep learn- ing for speech enhancement: Combining model-based and data- driven approaches to parameter estimation and filtering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.786487Z

Source-reported events for the cited work

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Observation 5b32f1c9-c8ab-47f3-8549-117b7c869995 · outbound

This paper cites A time-frequency fusion model for multi-channel speech enhancement,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A time-frequency fusion model for multi-channel speech enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.791876Z

Source-reported events for the cited work

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Observation b27dc135-5331-451b-a896-c74e6b325c18 · outbound

This paper cites ICASSP 2023 Deep Noise Suppression Challenge,.

Improving multichannel speech enhancement through accurate room-acoustic simulations ICASSP 2023 Deep Noise Suppression Challenge,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.805667Z

Source-reported events for the cited work

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Observation c28ce9c2-2cbb-43ce-b3f6-355a9e3826f2 · outbound

This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A study on data augmentation of reverberant speech for robust speech recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.775463Z

Source-reported events for the cited work

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Observation 3791f750-d74b-4b96-9055-1c20189b52d0 · outbound

This paper cites Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.772998Z

Source-reported events for the cited work

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Observation d229e4e2-e5c7-4dc6-b4e7-41ecf468a84a · outbound

This paper cites WHAMR!: Noisy and reverberant single-channel speech sep- aration,.

Improving multichannel speech enhancement through accurate room-acoustic simulations WHAMR!: Noisy and reverberant single-channel speech sep- aration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.794803Z

Source-reported events for the cited work

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Observation cf3b340b-0134-48a5-a3b7-855bf4ad6b15 · outbound

This paper cites A study on more realistic room simulation for far-field key- word spotting,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A study on more realistic room simulation for far-field key- word spotting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.836153Z

Source-reported events for the cited work

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Observation 6bc8c312-1f1e-4698-ad34-e1208f6152f5 · outbound

This paper cites Quantifying the effect of simulator-based data augmentation for speech recognition on augmented reality glasses,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Quantifying the effect of simulator-based data augmentation for speech recognition on augmented reality glasses,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.839018Z

Source-reported events for the cited work

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Observation 25c8b68f-7b98-430e-8895-6cdc39909b2e · outbound

This paper cites How to (virtually) train your speaker localizer,.

Improving multichannel speech enhancement through accurate room-acoustic simulations How to (virtually) train your speaker localizer,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.762141Z

Source-reported events for the cited work

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Observation ee1ab19c-d22a-4465-b100-7415607c456e · outbound

This paper cites MB-RIRs: a synthetic room impulse response dataset with frequency- dependent absorption coefficients,.

Improving multichannel speech enhancement through accurate room-acoustic simulations MB-RIRs: a synthetic room impulse response dataset with frequency- dependent absorption coefficients,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.830083Z

Source-reported events for the cited work

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Observation 0b5a204b-48f3-4933-9683-8cc00229414b · outbound

This paper cites GW A: A large high-quality acoustic dataset for audio processing,.

Improving multichannel speech enhancement through accurate room-acoustic simulations GW A: A large high-quality acoustic dataset for audio processing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.752306Z

Source-reported events for the cited work

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Observation 37e048f7-7f71-4a1f-96c0-9c5bc3c8046b · outbound

This paper cites Overview of geometrical room acoustic modeling techniques,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Overview of geometrical room acoustic modeling techniques,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.759326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 90b42bb8-3754-4e37-a34f-bde6a6e4a703 · outbound

This paper cites Calculating the acoustical room response by the use of a ray tracing technique,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Calculating the acoustical room response by the use of a ray tracing technique,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.778328Z

Source-reported events for the cited work

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Observation be2cfb8b-0a5b-4860-b179-b41e9ededb30 · outbound

This paper cites Fifteen years’ experience with computerized ray tracing,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Fifteen years’ experience with computerized ray tracing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.808473Z

Source-reported events for the cited work

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Observation 5a182f93-52dd-43ae-a226-d89e7e5e9007 · outbound

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

Improving multichannel speech enhancement through accurate room-acoustic simulations Image method for efficiently sim- ulating small-room acoustics,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.826188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 671a011f-e454-4caa-b32f-5e38ed9edeac · outbound

This paper cites Extension of the image model to arbitrary polyhedra,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Extension of the image model to arbitrary polyhedra,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.841551Z

Source-reported events for the cited work

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Observation 404d372f-b581-4969-a595-fa7e2852c50f · outbound

This paper cites Computation of edge diffraction for more accurate room acoustics auralization,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Computation of edge diffraction for more accurate room acoustics auralization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.751734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 260a4f1c-5226-4da1-9d74-2ce892cf24c7 · outbound

This paper cites High-order diffraction and diffuse reflections for interactive sound propagation in large environments,.

Improving multichannel speech enhancement through accurate room-acoustic simulations High-order diffraction and diffuse reflections for interactive sound propagation in large environments,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.726417Z

Source-reported events for the cited work

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Observation 49054b47-13b5-431f-a1b3-dd7ab1f58a8f · outbound

This paper cites Computer simulations in room acoustics: Con- cepts and uncertainties,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Computer simulations in room acoustics: Con- cepts and uncertainties,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.729832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 00efa407-07de-44fa-898f-0ab5941ee2db · outbound

This paper cites A round robin on room acoustical simulation and auralization,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A round robin on room acoustical simulation and auralization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.733031Z

Source-reported events for the cited work

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Observation c92823e8-64e3-4ddc-884b-effd1a272e67 · outbound

This paper cites Finite difference and finite volume methods for wave-based modelling of room acoustics,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Finite difference and finite volume methods for wave-based modelling of room acoustics,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.761630Z

Source-reported events for the cited work

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Observation 37469d37-c9d2-458d-b78c-406914e7941d · outbound

This paper cites Time domain room acoustic simulations using the spectral element method,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Time domain room acoustic simulations using the spectral element method,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.715959Z

Source-reported events for the cited work

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Observation f4ddc93e-4f35-4001-9356-fb4944b5dbfe · outbound

This paper cites A review of finite element methods for room acous- tics,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A review of finite element methods for room acous- tics,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.706665Z

Source-reported events for the cited work

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Observation fa348d3b-f95a-4b39-997b-d46e604abc96 · outbound

This paper cites Finite-difference time-domain simulation of low-frequency room acoustic problems,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Finite-difference time-domain simulation of low-frequency room acoustic problems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.719349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ec7d98c8-e9f7-4710-a314-4599a2162002 · outbound

This paper cites Room acoustics modelling in the time-domain with the nodal discontin- uous Galerkin method,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Room acoustics modelling in the time-domain with the nodal discontin- uous Galerkin method,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.768487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 604c407a-73ce-4f06-a876-8d233c99216b · outbound

This paper cites Time-domain room acoustic simulations with extended-reacting porous absorbers using the discontinuous Galerkin method,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Time-domain room acoustic simulations with extended-reacting porous absorbers using the discontinuous Galerkin method,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.784897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 98527c00-9688-4a8c-ad49-b485e2a5445e · outbound

This paper cites Massively par- allel nodal discontinous Galerkin finite element method simulator for room acoustics,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Massively par- allel nodal discontinous Galerkin finite element method simulator for room acoustics,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.740237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation fd776711-f0a0-40d9-aa5a-c6d8e407bea0 · outbound

This paper cites Rays or waves? under- standing the strengths and weaknesses of computational room acoustics modeling techniques,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Rays or waves? under- standing the strengths and weaknesses of computational room acoustics modeling techniques,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.723522Z

Source-reported events for the cited work

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Observation d6b49ad9-1167-49d2-aa40-a695415065f3 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Conformer: Convolution-augmented transformer for speech recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.832898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 289dcdbc-c786-4d60-a05b-4c2d6e19ebbc · outbound

This paper cites Attention is all you need,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Attention is all you need,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.747638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 2d1cbde9-d9aa-4c30-b9e5-5887d93b920b · outbound

This paper cites gpuRIR: A python library for room impulse response simulation with GPU accelera- tion,.

Improving multichannel speech enhancement through accurate room-acoustic simulations gpuRIR: A python library for room impulse response simulation with GPU accelera- tion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.844553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation bf85ab3f-4333-48cf-b651-78c323173fbf · outbound

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

Improving multichannel speech enhancement through accurate room-acoustic simulations Continuous speech separation: dataset and analysis,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.755563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 9523f423-3255-47fe-a21c-e9a5288dbcd1 · outbound

This paper cites Lib- rispeech: An ASR corpus based on public domain audio books,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Lib- rispeech: An ASR corpus based on public domain audio books,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.769730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 78e9ce16-4f0b-49f3-a7f3-e4a3d425c12e · outbound

This paper cites A dataset of higher-order Ambisonic room impulse responses and 3D models measured in a room with varying furniture,.

Improving multichannel speech enhancement through accurate room-acoustic simulations A dataset of higher-order Ambisonic room impulse responses and 3D models measured in a room with varying furniture,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.780874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation bd29748c-3af6-4d20-a0d8-cdf56cfcd00e · outbound

This paper cites Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis.

Improving multichannel speech enhancement through accurate room-acoustic simulations Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:55:42.471726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 94fb38c3-1938-471d-a3ac-e001dc283444 · outbound

This paper cites The reverb challenge: A common evalu- ation framework for dereverberation and recognition of reverber- ant speech,.

Improving multichannel speech enhancement through accurate room-acoustic simulations The reverb challenge: A common evalu- ation framework for dereverberation and recognition of reverber- ant speech,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.811563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 9576d464-15da-424b-bed8-17a1659c9342 · outbound

This paper cites Generating nonstation- ary multisensor signals under a spatial coherence constraint,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Generating nonstation- ary multisensor signals under a spatial coherence constraint,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.822721Z

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Observation 2ce72f03-b0a0-4c08-9542-a0462f78620a · outbound

This paper cites The Kaldi speech recog- nition toolkit,.

Improving multichannel speech enhancement through accurate room-acoustic simulations The Kaldi speech recog- nition toolkit,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.847532Z

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Observation 4e78e18d-e679-4eb2-93ee-c08157d54007 · outbound

This paper cites PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch.

Improving multichannel speech enhancement through accurate room-acoustic simulations PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorch

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:55:42.468782Z

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Observation 29a4e17c-d0f3-4af5-b1a8-8b4e6c3ebffe · outbound

This paper cites Speech recognition with deep recurrent neural networks,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Speech recognition with deep recurrent neural networks,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.693942Z

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Observation 61d6f562-3fb4-4299-8b91-c1b8baff2908 · outbound

This paper cites Maxi- mum mutual information estimation of hidden markov model pa- rameters for speech recognition,.

Improving multichannel speech enhancement through accurate room-acoustic simulations Maxi- mum mutual information estimation of hidden markov model pa- rameters for speech recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:43:09.702675Z

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Pith citing papers

Observation 15f48477-71a8-4862-b5bc-d1a056ed47dc · inbound