Results 21 to 30 of about 926 (186)
Speech dereverberation using a learned speech model [PDF]
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 We present a general single-channel speech dereverberation method based on an explicit generative model of reverberant and noisy speech. To regularize the model, we use a pre-learned speech model of clean and dry speech as a prior and perform posterior inference over the latent clean speech.
Dawen Liang +2 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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Dereverberation by Using Time-Variant Nature of Speech Production System
EURASIP Journal on Advances in Signal Processing, 2007 This paper addresses the problem of blind speech dereverberation by inverse filtering of a room acoustic system. Since a speech signal can be modeled as being generated by a speech production system driven by an innovations process, a reverberant signal ...
Masato Miyoshi +2 more
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Modulation-domain Kalman filtering for monaural blind speech denoising and dereverberation [PDF]
, 2019 We describe a monaural speech enhancement algorithm based on modulation-domain Kalman filtering to blindly track the time-frequency log-magnitude spectra of speech and reverberation.
Dionelis, Nikolaos, Brookes, David
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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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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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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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Performance comparison of real-time single-channel speech dereverberation algorithms
, 2022 S.126-130This paper investigates four single-channel speech dereverberation algorithms, i.e., two unsupervised approaches based on (i) spectral enhancement and (ii) linear prediction, as well as two supervised approaches relying on machine learning which
Cauchi, B. +5 more
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Speech Dereverberation in the STFT Domain
CoRR, 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.
Richard Stanton, Mike Brookes
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, 2022 S.1495-1510In speech communication systems, the microphone signals are degraded by reverberation and ambient noise. The reverberant speech can be separated into two components, namely, an early speech component that consists of the direct path and some ...
Gannot, S., Habets, E.A.P., Schwartz, O.
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