Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation [PDF]
SensorsDeep learning has revolutionized speech enhancement, enabling impressive high-quality noise reduction and dereverberation. However, state-of-the-art methods often demand substantial computational resources, hindering their deployment on edge devices and ...
Tomer Rosenbaum +3 more
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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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Cortical adaptation to sound reverberation [PDF]
eLife, 2022 In almost every natural environment, sounds are reflected by nearby objects, producing many delayed and distorted copies of the original sound, known as reverberation.
Aleksandar Z Ivanov +4 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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A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality [PDF]
SensorsThis paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments.
Alon Nemirovsky +2 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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Deep Learning Based Target Cancellation for Speech Dereverberation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2020 Zhong-Qiu Wang, Deliang Wang
exaly +2 more sources
On the importance of power compression and phase estimation in monaural speech dereverberation [PDF]
JASA Express Letters, 2021 Previous studies have shown the importance of introducing power compression on both feature and target when only the magnitude is considered in the dereverberation task.
Andong Li +3 more
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Crossband Filtering for Weighted Prediction Error-Based Speech Dereverberation
Applied Sciences, 2023 Weighted prediction error (WPE) is a linear prediction-based method extensively used to predict and attenuate the late reverberation component of an observed speech signal.
Tomer Rosenbaum +2 more
doaj +1 more source
CycleGAN-based Unpaired Speech Dereverberation
Interspeech 2022, 2022 Submitted to Interspeech ...
Hannah Muckenhirn +6 more
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