Results 61 to 70 of about 2,562 (160)
Investigating Generative Adversarial Networks Based Speech Dereverberation for Robust Speech Recognition [PDF]
Interspeech 2018, 2018 Interspeech ...
Wang, Ke +5 more
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ICASSP 2023 Deep Noise Suppression Challenge
IEEE Open Journal of Signal ProcessingThe ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS.
Harishchandra Dubey +10 more
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Distributed Speech Dereverberation Using Weighted Prediction Error
Signal ProcessingSpeech dereverberation aims to alleviate the negative impact of late reverberant reflections. The weighted prediction error (WPE) method is a well-established technique known for its superior performance in dereverberation. However, in scenarios where microphone nodes are dispersed, the centralized approach of the WPE method requires aggregating all ...
Ziye Yang, Mengfei Zhang, Jie Chen
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Multichannel equalization applied to speech dereverberation [PDF]
, 2019 Speech signals acquired by a distant microphone inside an enclosed space is often degraded by reverberation. Reverberation results from the multipath propagation of a sound wave from its source to receivers. Reverberation can cause a detrimental effect on the perceived quality as well as the intelligibility of the speech signals.
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Speech Dereverberation in the STFT Domain
, 2015 Reverberation is damaging to both the quality and the intelligibility of a speech signal. We propose a novel single-channel method of dereverberation based on a linear filter in the Short Time Fourier Transform domain. Each enhanced frame is constructed from a linear sum of nearby frames based on the channel impulse response.
Stanton, Richard, Brookes, Mike
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Realistic multi-microphone data simulation for distant speech recognition
, 2016 The availability of realistic simulated corpora is of key importance for the future progress of distant speech recognition technology. The reliability, flexibility and low computational cost of a data simulation process may ultimately allow researchers ...
Omologo, Maurizio +2 more
core
, 2005 The effect of reverberation on speech is to cause it to sound distant and spectrally distorted and can also reduce intelligibility. Dereverberation is therefore an important speech enhancement process for hands-free terminals. This is a blind problem and currently an unsolved problem. This paper reviews existing ap- proaches and discuss current work on
Naylor, P, Gaubitch, N
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Recent Advances in Blind Speech Dereverberation
IEICE ESS Fundamentals Review, 2011 室内で収録された音声信号には，音源からマイクロホンへ直接到達する直接音に加えて，壁や床などに反射して遅れてマイクロホンへ到達する残響が含まれている．この残響は収音した音声信号の明瞭性を低下させるとともに，コンピュータによる自動音声認識をはじめとする多くの音響信号処理アプリケーションの性能低下を招く原因となる．このため，収録音からの残響の除去は，古くから，実環境音響信号処理の実現に向けた重要課題とされてきた．その中でも特に重要度の高い課題である，収録条件が与えられていない任意の条件で収録された音声に含まれる残響の除去(=ブラインド残響除去) の問題は，解決の困難なものとされており，多くの提案がなされてきた．本稿では，音声のブラインド残響除去の近年の幾つかの研究成果を挙げ，それらの特徴をまとめる．
Keisuke KINOSHITA +2 more
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Effect of Reverberation on Neural Responses to Natural Speech in Rabbit Auditory Midbrain: No Evidence for a Neural Dereverberation Mechanism. [PDF]
eNeuro, 2023 Barzelay O, David S, Delgutte B.
europepmc +1 more source
Deep Learning-Based Estimation of Reverberant Environment for Audio Data Augmentation. [PDF]
Sensors (Basel), 2022 Yun D, Choi SH.
europepmc +1 more source