Results 31 to 40 of about 2,995 (171)
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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Noise Robust Blind System Identification Algorithms Based On A Rayleigh Quotient Cost Function [PDF]
, 2015 An important prerequisite for acoustic multi-channel equalization for speech dereverberation involves the identification of the acoustic channels between the source and the microphones. Blind System Identification (BSI) algorithms based on cross-relation
Brookes, D +4 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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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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Single-Channel Speech Enhancement Techniques for Distant Speech Recognition
Journal of Intelligent Systems, 2013 This article presents an overview of the single-channel dereverberation methods suitable for distant speech recognition (DSR) application. The dereverberation methods are mainly classified based on the domain of enhancement of speech signal captured by a
Ashwini Jaya Kumar +1 more
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AdVerb: Visually Guided Audio Dereverberation
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted at ICCV 2023.
Chowdhury, Sanjoy +5 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2023 More and more smart home devices with microphones come into our life in these years; it is highly desirable to connect these microphones as wireless acoustic sensor networks (WASNs) so that these devices can be better controlled in an enclosure.
Zhe Han +3 more
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Expectation‐maximisation for speech source separation using convolutive transfer function
CAAI Transactions on Intelligence Technology, Volume 4, Issue 1, Page 47-53, March 2019., 2019 This study addresses the problem of under‐determined speech source separation from multichannel microphone signals, i.e. the convolutive mixtures of multiple sources. The time‐domain signals are first transformed to the short‐time Fourier transform (STFT) domain.
Xiaofei Li, Laurent Girin, Radu Horaud
wiley +1 more source
Tracking of Moving Sources in a Reverberant Environment Using Evolutionary Algorithms
IEEE Access, 2022 This paper describes a source tracking technique in a reverberant environment using a new combination of an adaptive species-based particle swarm optimization (ASPSO) algorithm and a multiple signal classification (MUSIC) algorithm.
Mingsian R. Bai +2 more
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