Results 31 to 40 of about 215 (163)
Applied Sciences, 2021 The estimation of the late reverberant spectral variance (LRSV) is of paramount importance in most reverberation suppression algorithms. This letter proposes an improved single-channel LRSV estimator based on Habets LRSV estimator by using an adaptive ...
Zhaoqi Zhang, Xuelei Feng, Yong Shen
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Machine Learning for Predictive Analytics in the Improvement of English Speech Feature Recognition
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 The use of deep learning to improve English speaking has seen tremendous development in recent years. This study evaluates the noise that is present in the English speech environment, employs a two‐way search method to select the optimum feature set, and applies a quick correlation filter to remove redundant features in order to increase the accuracy ...
Yan Chen +2 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
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Learning Audio-Visual Dereverberation
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Reverberation not only degrades the quality of speech for human perception, but also severely impacts the accuracy of automatic speech recognition. Prior work attempts to remove reverberation based on the audio modality only. Our idea is to learn to dereverberate speech from audio-visual observations.
Changan Chen +3 more
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CycleGAN-based Unpaired Speech Dereverberation
Interspeech 2022, 2022 Submitted to Interspeech ...
Hannah Muckenhirn +6 more
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A multichannel learning-based approach for sound source separation in reverberant environments
EURASIP Journal on Audio, Speech, and Music Processing, 2021 In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies.
You-Siang Chen +2 more
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EURASIP Journal on Advances in Signal Processing, 2017 A reverberation-time-aware deep-neural-network (DNN)-based multi-channel speech dereverberation framework is proposed to handle a wide range of reverberation times (RT60s). There are three key steps in designing a robust system.
Bo Wu +6 more
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Optimized gain functions in ideal time-frequency masks and their application to dereverberation for cochlear implants [PDF]
JASA Express Letters, 2021 The present study investigated three different reverberation suppression rules based on the parametric ideal ratio mask, which is a generalization of the classical Wiener filter with additional parameters controlling the threshold and slope.
Kostas Kokkinakis, Joshua S. Stohl
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The Journal of the Acoustical Society of America, 1973 A method for dereverberating speech based on linear prediction is developed in detail. By properly analyzing and resynthesizing speech that has been reverberated by a real room, it is possible to remove most of the reverberation. The algorithm will be described and tapes will be played.
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Channel and temporal-frequency attention UNet for monaural speech enhancement
EURASIP Journal on Audio, Speech, and Music Processing, 2023 The presence of noise and reverberation significantly impedes speech clarity and intelligibility. To mitigate these effects, numerous deep learning-based network models have been proposed for speech enhancement tasks aimed at improving speech quality. In
Shiyun Xu, Zehua Zhang, Mingjiang Wang
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