Deep, data-driven modeling of room acoustics: literature review and research perspectives | Paper Citation Record

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This paper cites Deep, data-driven modeling of room acoustics: literature review and research perspectives.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Deep, data-driven modeling of room acoustics: literature review and research perspectives

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This paper cites We end this review paper by formulating three prominent perspectives for fu- ture research.

Deep, data-driven modeling of room acoustics: literature review and research perspectives We end this review paper by formulating three prominent perspectives for fu- ture research

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Deep, data-driven modeling of room acoustics: literature review and research perspectives The scientific responsibility is assumed by its authors

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Deep, data-driven modeling of room acoustics: literature review and research perspectives The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives A summary of research investigating echolocation abilities of blind and sighted humans,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Localization of a virtual wall by means of ac- tive echolocation by untrained sighted persons,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Engaging concert hall acoustics is made up of temporal enve- lope preserving reflections,

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This paper cites The modulation transfer function in room acoustics as a predictor of speech intelligibility,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives The modulation transfer function in room acoustics as a predictor of speech intelligibility,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives The cocktail party phenomenon: a review of research on speech intelligibility in multiple-talker conditions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Functionality of hearing aids: state-of-the-art and future model-based solutions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Finite volume time domain room acoustics simulation un- der general impedance boundary conditions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives FDTD methods for 3-D room acoustics simulation with high-order accuracy in space and time,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Review of objective room acoustics measures and future needs,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Monaural room acoustic parameters from music and speech,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Estimation of room acoustic parameters: The ACE challenge,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Pole and zero modeling of room trans- fer functions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Fifty years of artificial reverberation,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives State-space estimation of spatially dynamic room im- pulse responses using a room acoustic model-based prior,

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This paper cites Introduction to the special issue on machine learn- ing in acoustics,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Introduction to the special issue on machine learn- ing in acoustics,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives An overview of machine learning and other data-based meth- ods for spatial audio capture, processing, and reproduction,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Yu, The estimation of acoustic parameters and representations based on room impulse responses

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Deep, data-driven modeling of room acoustics: literature review and research perspectives G ¨otz, Data-driven room-acoustic modelling

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Karakonstantis, Data-driven methods for large-scale sound field acquisition and analysis

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Kuttruff, Room Acoustics

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Spatial impulse response rendering I: Analysis and synthesis,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Common acoustical pole and zero modeling of room transfer functions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives A scalable algorithm for physically motivated and sparse approximation of room impulse responses with orthonormal basis functions,

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Deep, data-driven modeling of room acoustics: literature review and research perspectives High-precision parallel graphic equal- izer,

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This paper cites Impulse response data augmentation and deep neural networks for blind room acoustic parameter estimation,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Impulse response data augmentation and deep neural networks for blind room acoustic parameter estimation,

Reference 60

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Evaluation of data augmentation techniques of room impulse re- sponses for improved AI-based estimations,

Reference 61

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Observation 9441ea1f-7420-4d51-b8ff-22625e8ab8de · outbound

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Blind estimation of speech transmission index and room acoustic parameters based on the extended model of room impulse re- sponse,

Reference 62

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Observation 676ac28a-8dbf-44e5-817f-db07c6ec189f · outbound

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Deep, data-driven modeling of room acoustics: literature review and research perspectives AI-IoT platform for blind estimation of room acous- tic parameters based on deep neural networks,

Reference 63

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Observation 12a88da2-3aeb-4f68-81fb-b6751ed0d8b6 · outbound

This paper cites Blind acoustic room parameter estimation using phase features,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Blind acoustic room parameter estimation using phase features,

Reference 64

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Observation 3b6a2ddd-6dd4-4911-9ee8-3d9c6c6cae0c · outbound

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Online blind reverberation time es- timation using CRNNs,

Reference 65

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Observation 70aef578-b28d-4673-835b-bda1de474d51 · outbound

This paper cites Blind reverberation time estimation in dynamic acoustic condi- tions,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Blind reverberation time estimation in dynamic acoustic condi- tions,

Reference 66

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Observation a6102c11-f6be-44ed-9b2e-f31857aefb51 · outbound

This paper cites Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks

Reference 67

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Observation 9e186258-ebbc-43e6-953a-caf834f2dbbb · outbound

This paper cites A universal deep room acoustics estimator,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives A universal deep room acoustics estimator,

Reference 68

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This paper cites Self-supervised learning of spatial acoustic representa- tion with cross-channel signal reconstruction and multi-channel conformer,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Self-supervised learning of spatial acoustic representa- tion with cross-channel signal reconstruction and multi-channel conformer,

Reference 69

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Observation 1f7f8a4e-5baf-4a22-a5e6-9ce52b9de62f · outbound

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Exploring the power of pure attention mechanisms in blind room parameter estimation,

Reference 70

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Observation baa6c57a-df9d-4f3a-9f3a-d98d4002fc95 · outbound

This paper cites A single-channel non-intrusive C50 estimator correlated with speech recognition performance,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives A single-channel non-intrusive C50 estimator correlated with speech recognition performance,

Reference 71

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Brouhaha: multi-task training for voice activity detec- tion, speech-to-noise ratio, and C50 room acoustics estimation,

Reference 72

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Observation cd81c28f-b51a-4715-b98f-d3f106d233b4 · outbound

This paper cites Attention is all you need for blind room volume estimation,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Attention is all you need for blind room volume estimation,

Reference 73

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This paper cites Speaker distance estimation in enclosures from single-channel audio,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Speaker distance estimation in enclosures from single-channel audio,

Reference 74

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Deep, data-driven modeling of room acoustics: literature review and research perspectives End-to-end classification of rever- berant rooms using DNNs,

Reference 75

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Observation 76091d8d-0c16-4313-95e4-cd4ac92066a5 · outbound

This paper cites Data Augmentation of Room Classifiers using Generative Adversarial Networks.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Data Augmentation of Room Classifiers using Generative Adversarial Networks

Reference 76

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Observation 6c6134c8-ea9c-42cb-b78c-697b19e227a4 · outbound

This paper cites Attention is all you need,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Attention is all you need,

Reference 77

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This paper cites Evaluation of a numerical method for identifying surface acoustic impedances in a reverberant room,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Evaluation of a numerical method for identifying surface acoustic impedances in a reverberant room,

Reference 78

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Observation d44614b8-e5c0-44c1-9004-d68234380a86 · outbound

This paper cites Mean absorption estimation from room impulse responses using virtually supervised learning,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Mean absorption estimation from room impulse responses using virtually supervised learning,

Reference 79

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Observation 497630c9-8e82-4caa-8582-7065392584ee · outbound

This paper cites Room acoustical parameter estimation from room impulse responses using deep neural networks,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Room acoustical parameter estimation from room impulse responses using deep neural networks,

Reference 80

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This paper cites Detecting Sound-Absorbing Materials in a Room from a Single Impulse Response using a CRNN.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Detecting Sound-Absorbing Materials in a Room from a Single Impulse Response using a CRNN

Reference 81

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Observation e95915e6-40b7-402f-bd7f-5ded7f4ae1c1 · outbound

This paper cites Acoustic reflectors localization from stereo recordings using neural networks,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Acoustic reflectors localization from stereo recordings using neural networks,

Reference 82

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Observation 1cc07daa-6cfb-47e2-b011-62783cd9f4de · outbound

This paper cites Reconstructing room scales with a single sound for aug- mented reality displays,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Reconstructing room scales with a single sound for aug- mented reality displays,

Reference 83

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Observation a3c32a79-b271-4e5a-8b96-c539397c4c51 · outbound

This paper cites Room geometry estimation from higher-order ambisonics signals using convolutional recurrent neural networks,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Room geometry estimation from higher-order ambisonics signals using convolutional recurrent neural networks,

Reference 84

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This paper cites Data-driven 3D room geometry inference with a linear loud- speaker array and a single microphone,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Data-driven 3D room geometry inference with a linear loud- speaker array and a single microphone,

Reference 85

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Observation d8fbe741-fef9-4590-b3b0-727861c94fdc · outbound

This paper cites Data-driven joint detection and localization of acoustic reflectors,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Data-driven joint detection and localization of acoustic reflectors,

Reference 86

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Observation 78acbb3d-9e79-4c8b-a1de-b8b8f81823b1 · outbound

This paper cites EchoScan: scanning complex room geometries via acous- tic echoes,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives EchoScan: scanning complex room geometries via acous- tic echoes,

Reference 87

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This paper cites Towards a data-driven plane wave decomposition from multichannel room impulse responses,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Towards a data-driven plane wave decomposition from multichannel room impulse responses,

Reference 88

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This paper cites A survey of sound source localization with deep learn- ing methods,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives A survey of sound source localization with deep learn- ing methods,

Reference 89

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Robust sound source tracking using SRP-PHAT and 3D convolutional neural networks,

Reference 90

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This paper cites DoA estimation of room reflections using NN-based MUSIC algorithm,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives DoA estimation of room reflections using NN-based MUSIC algorithm,

Reference 91

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Deep, data-driven modeling of room acoustics: literature review and research perspectives Double-talk-robust prediction error identifica- tion algorithms for acoustic echo cancellation,

Reference 92

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This paper cites Deep learning for acoustic echo cancellation in noisy and double-talk scenarios,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Deep learning for acoustic echo cancellation in noisy and double-talk scenarios,

Reference 93

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This paper cites A robust and cascaded acoustic echo cancellation based on deep learning,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives A robust and cascaded acoustic echo cancellation based on deep learning,

Reference 94

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This paper cites Acoustic echo cancellation with the dual- signal transformation LSTM network,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Acoustic echo cancellation with the dual- signal transformation LSTM network,

Reference 95

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This paper cites Deep multitask acoustic echo cancella- tion,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Deep multitask acoustic echo cancella- tion,

Reference 96

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Observation d8316241-8c08-49ae-a071-5b638e5ced2f · outbound

This paper cites Deep learning for joint acoustic echo and acous- tic howling suppression in hybrid meetings,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Deep learning for joint acoustic echo and acous- tic howling suppression in hybrid meetings,

Reference 97

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Observation 3d60baa4-9ea0-427a-8642-306941d1c2ab · outbound

This paper cites CAD-AEC: context-aware deep acous- tic echo cancellation,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives CAD-AEC: context-aware deep acous- tic echo cancellation,

Reference 98

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Observation dfba4c0f-6bfd-48f1-90bd-9f7d4e6513ee · outbound

This paper cites A complex spectral mapping with inplace convolution recurrent neural networks for acoustic echo cancellation,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives A complex spectral mapping with inplace convolution recurrent neural networks for acoustic echo cancellation,

Reference 99

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Observation 2a5b9d7a-858c-40dd-90a6-f69b055fc580 · outbound

This paper cites Deep learning for joint acoustic echo and noise cancellation with nonlinear distortions,.

Deep, data-driven modeling of room acoustics: literature review and research perspectives Deep learning for joint acoustic echo and noise cancellation with nonlinear distortions,

Reference 100

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