Results 171 to 180 of about 2,944 (228)

Speech Dereverberation Using Weighted Prediction Error with Prior Learnt from Data

European Signal Processing Conference, 2023
Speech dereverberation aims to mitigate the impact of late-reverberant components. As a typical approach to dere-verberation, the weighted prediction error (WPE) method has shown its superior performance, however it is still possible to further improve ...
Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen   +3 more
semanticscholar   +1 more source

ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation

arXiv.org
We present ReverbFX, a new room impulse response (RIR) dataset designed for singing voice dereverberation research. Unlike existing datasets based on real recorded RIRs, ReverbFX features a diverse collection of RIRs captured from various reverb audio ...
Julius Richter, Till Svajda, Timo Gerkmann   +2 more
semanticscholar   +1 more source

Distributed Kalman Filtering for Speech Dereverberation and Noise Reduction in Acoustic Sensor Networks

IEEE Sensors Journal, 2023
In acoustic sensor networks (ASNs), the desired speech signal is commonly corrupted by reverberation and background noise. To solve this problem, the distributed Kalman filtering method for joint dereverberation and noise reduction is proposed in this ...
Ruijiang Chang, Zhe Chen, F. Yin
semanticscholar   +1 more source

Multiple microphone dereverberation system

The Journal of the Acoustical Society of America, 1979
A circuit for reducing reverberative interference utilizes a pair of spatially separated microphones to obtain speech signals from a common sound source. Each speech signal is transformed into an envelope representative signal having rapid increases responsive to direct path and echo energy bursts from the sound source and exponential decaying portions
Susan W. Christensen, Cecil H. Coker
openaire   +1 more source

On Joint Dereverberation and Source Separation with Geometrical Constraints and Iterative Source Steering

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
In order to improve both the separation performance and the convergence speed, several geometrically constrained independent vector analysis (GC-IVA) algorithms have been developed. Those algorithms are based on the multiplicative transfer function model,
Kaien Mo, Xianrui Wang, Yichen Yang, Tetsuya Ueda, Shoji Makino, Jingdong Chen   +5 more
semanticscholar   +1 more source

Overfitting-Resistant Speech Dereverberation

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2007
This paper proposes a method that prevents the overfitting problem inherent in the joint source-channel estimation approach to speech dereverberation. The approach has several desirable attributes such as high estimation accuracy. However, the channel-related parameters estimated with the conventional implementation of this approach often overfit the ...
Takuya Yoshioka, Tomohiro Nakatani, Takafumi Hikichi, Masato Miyoshi   +3 more
openaire   +1 more source

An Overview of Speech Dereverberation

2021
Speech dereverberation is an important preprocessing step in speech signal processing, aims at improving the sound quality by canceling or suppressing the effect of reverb. This paper provides an overview of speech dereverberation algorithms, showing the development of speech dereverberation technology.
Yuan Li, Lunhui Deng
openaire   +1 more source

Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation With Diffusion Models

IEEE Transactions on Audio, Speech, and Language Processing
This paper presents an unsupervised method for single-channel blind dereverberation and room impulse response (RIR) estimation, called BUDDy. The algorithm is rooted in Bayesian posterior sampling: it combines a likelihood model enforcing fidelity to the
Jean-Marie Lemercier, Eloi Moliner, Simon Welker, V. Välimäki, Timo Gerkmann   +4 more
semanticscholar   +1 more source

Cascaded Speech Separation Denoising and Dereverberation Using Attention and TCN-WPE Networks for Speech Devices

IEEE Internet of Things Journal
In an actual indoor acoustic environment, the signal processing technique to extract the low-noise and low-reverberation speech signal of a particular speaker from the mixed audio signals is crucial for the back-end speech recognition, speech emotion ...
Xuan Zhang, Jun Tang, Hui Cao, Chenguang Wang, Chong Shen, Jun Liu   +5 more
semanticscholar   +1 more source

Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
Dereverberation, a process to mitigate or eliminate the reverberation effect, plays an important role in hands-free speech communication and human-machine interfaces.
Gongping Huang, J. Benesty, I. Cohen, E. Winebrand, Jingdong Chen, Walter Kellermann   +5 more
semanticscholar   +1 more source