Signal-Based Performance Evaluation of Dereverberation Algorithms
Journal of Electrical and Computer Engineering, 2010 We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the
Patrick A. Naylor +2 more
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Subspace Methods for Multimicrophone Speech Dereverberation [PDF]
EURASIP Journal on Advances in Signal Processing, 2003 A novel approach for multimicrophone speech dereverberation is presented. The method is based on the construction of the null subspace of the data matrix in the presence of colored noise, using the generalized singular-value decomposition (GSVD ...
Moonen Marc, Gannot Sharon
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Deep Learning-Based Amplitude Fusion for Speech Dereverberation
Discrete Dynamics in Nature and Society, 2020 Mapping and masking are two important speech enhancement methods based on deep learning that aim to recover the original clean speech from corrupted speech. In practice, too large recovery errors severely restrict the improvement in speech quality.
Chunlei Liu, Longbiao Wang, Jianwu Dang
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VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification [PDF]
IEEE Transactions on Audio, Speech, and Language ProcessingReverberant speech, denoting the speech signal degraded by reverberation, contains crucial knowledge of both anechoic source speech and room impulse response (RIR).
Pengyu Wang, Ying Fang, Xiaofei Li
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A dereverberation beamforming algorithm for noise source localization in anechoic and semi-reverberant environments [PDF]
MethodsXThis paper presents a dereverberation beamforming (DBF) technique based on windowing the cross-correlation matrix (CCM) to improve the localization accuracy of beamforming maps for imaging the noise sources generated by real-world applications. Following
R. Singh, A. Mimani, R. Kumar
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Multimicrophone Speech Dereverberation: Experimental Validation
EURASIP Journal on Audio, Speech, and Music Processing, 2007 Dereverberation is required in various speech processing applications such as handsfree telephony and voice-controlled systems, especially when signals are applied that are recorded in a moderately or highly reverberant environment.
Moonen Marc, Eneman Koen
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AdVerb: Visually Guided Audio Dereverberation [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio.
Sanjoy Chowdhury +5 more
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Triple-0: Zero-shot denoising and dereverberation on an end-to-end frozen anechoic speech separation network. [PDF]
PLoS ONESpeech enhancement is crucial both for human and machine listening applications. Over the last decade, the use of deep learning for speech enhancement has resulted in tremendous improvement over the classical signal processing and machine learning ...
Sania Gul +2 more
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Speech dereverberation constrained on room impulse response characteristics [PDF]
InterspeechSingle-channel speech dereverberation aims at extracting a dry speech signal from a recording affected by the acoustic reflections in a room. However, most current deep learning-based approaches for speech dereverberation are not interpretable for room ...
Louis Bahrman +3 more
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Integrating Plug-and-Play Data Priors with Weighted Prediction Error for Speech Dereverberation [PDF]
arXiv.org, 2023 Speech dereverberation aims to alleviate the detrimental effects of late-reverberant components. While the weighted prediction error (WPE) method has shown superior performance in dereverberation, there is still room for further improvement in terms of ...
Ziye Yang +3 more
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