Results 41 to 50 of about 2,944 (228)
Diffusion Posterior Sampling for Informed Single-Channel Dereverberation [PDF]
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023 We present in this paper an informed single-channel dereverberation method based on conditional generation with diffusion models. With knowledge of the room impulse response, the anechoic utterance is generated via reverse diffusion using a measurement ...
Jean-Marie Lemercier +2 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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RVAE-EM: Generative Speech Dereverberation Based On Recurrent Variational Auto-Encoder And Convolutive Transfer Function [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 In indoor scenes, reverberation is a crucial factor in degrading the perceived quality and intelligibility of speech. In this work, we propose a generative dereverberation method.
Pengyu Wang, Xiaofei Li
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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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Speech Dereverberation With Frequency Domain Autoregressive Modeling [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2023 Speech applications in far-field real world settings often deal with signals that are corrupted by reverberation. The task of dereverberation constitutes an important step to improve the audible quality and to reduce the error rates in applications like ...
Anurenjan Purushothaman +3 more
semanticscholar +1 more source
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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USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering [PDF]
IEEE/ACM Transactions on Audio Speech and Language ProcessingIn reverberant conditions with a single speaker, each far-field microphone records a reverberant version of the same speaker signal at a different location.
Zhong-Qiu Wang
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A Composite T60 Regression and Classification Approach for Speech Dereverberation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2023 Dereverberation is often performed directly on the reverberant audio signal, without knowledge of the acoustic environment. Reverberation time, $T_{60}$, however, is an essential acoustic factor that reflects how reverberation may impact a signal.
Yuying Li +2 more
semanticscholar +1 more source