Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network. [PDF]
PLoS One, 2023 Peracha FK +3 more
europepmc +1 more source
Deep learning based speaker separation and dereverberation can generalize across different languages to improve intelligibility. [PDF]
J Acoust Soc Am, 2021 Healy EW +6 more
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Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2017 Williamson DS, Wang D.
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DEEP NEURAL NETWORK FOR DEREVERBERATION
, 2019 Recently, deep neural networks have achieved incredible success in the area of computer vision and natural language processing. The research topics under the umbrella of speech enhancement have embraced this chance to revolutionize.
Jiao, Yang
core +1 more source
Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms
, 2014 This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. The problem is formulated as a blind deconvolution problem with non-negative constraints, regularized ...
Hirokazu Kameoka +2 more
core
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation
, 2022 Speech dereverberation is often an important requirement in robust speech processing tasks. Supervised deep learning (DL) models give state-of-the-art performance for single-channel speech dereverberation.
Hain, Thomas +5 more
core
A framework for multi-channel speech dereverberation by exploiting sparsity
, 2016 We consider the problem of blind multi-channel speech dereverberation without the knowledge of room acoustics. The dereverberated speech component is estimated by subtracting the undesired component, estimated using multi-channel linear prediction (MCLP),
van Waterschoot, Toon +3 more
core
Tight Integration of Dereverberation and Automatic Speech Recognition [PDF]
, 2009 Speech recognition under reverberant condition is a difficult task. Most dereverberation techniques used to address this problem enhance the reverberant waveform independent to that of the speech recognizer.
Gomez, Randy, Kawahara, Tatsuya
core
A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operation. [PDF]
J Acoust Soc Am, 2021 Healy EW +3 more
europepmc +1 more source
A Survey on Low-Latency DNN-Based Speech Enhancement. [PDF]
Sensors (Basel), 2023 Drgas S.
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