Results 151 to 160 of about 7,769,076 (229)
Robust speech recognition using model-based feature enhancement [PDF]
, 2003 Veronique Stouten +3 more
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Spatio-Temporal Features Representation Using Recurrent Capsules for Monaural Speech Enhancement
IEEE AccessSingle-channel speech enhancement is important for modern communication systems and has received a lot of attention. A convolutional neural network (CNN) successfully learns feature representations from speech spectrograms but loses spatial information ...
Jawad Ali +5 more
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Speech enhancement in the modulation domain
, 2015 The goal of a speech enhancement algorithm is to reduce or eliminate background noise without distorting the speech signal. Although speech enhancement is important for practical scenarios, it is a difficult task especially when the noisy speech signal is only available from a single channel.
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Speech enhancement method based on multi-domain fusion and neural architecture search
Tongxin xuebaoIn order to further improve the self-learning and noise reduction ability of speech enhancement model, a speech enhancement method based on multi-domain fusion and neural architecture search was proposed.The multi-spatial domain mapping and fusion ...
Rui ZHANG, Pengyun ZHANG, Chaoli SUN
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Source enhanced linear prediction of speech incorporating simultaneously masked spectral weighting
, 2001 J. Lukasiak, Lee Burnett
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ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement [PDF]
arXivThe current dominant approach for neural speech enhancement is via purely-supervised deep learning on simulated pairs of far-field noisy-reverberant speech (i.e., mixtures) and clean speech. The trained models, however, often exhibit limited generalizability to real-recorded mixtures.
arxiv
A Neural Network Based Adaptive Speech Enhancement System According to Estimation of Noise Intensity
, 2001 Jae-Seung Choi, Jiro Okamoto
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Speech Enhancement For Hearing Aids
, 1996 Publication in the conference proceedings of EUSIPCO, Trieste, Italy ...
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