Results 181 to 190 of about 2,944 (228)

Monaural Speech Dereverberation Using Deformable Convolutional Networks

IEEE/ACM Transactions on Audio Speech and Language Processing
Reverberation and background noise can degrade speech quality and intelligibility when captured by a distant microphone. In recent years, researchers have developed several deep learning (DL)-based single-channel speech dereverberation systems that aim ...
Vinay Kothapally, John H. L. Hansen
semanticscholar   +1 more source

Blind and Spatially-Regularized Online Joint Optimization of Source Separation, Dereverberation, and Noise Reduction

IEEE/ACM Transactions on Audio Speech and Language Processing
This paper proposes a computationally efficient joint optimization algorithm that performs online source separation, dereverberation, and noise reduction based on blind and spatially-regularized processing.
Tetsuya Ueda, T. Nakatani, Rintaro Ikeshita, K. Kinoshita, S. Araki, Shoji Makino   +5 more
semanticscholar   +1 more source

A Hybrid Reverberation Model and Its Application to Joint Speech Dereverberation and Separation

IEEE/ACM Transactions on Audio Speech and Language Processing, 2023
This article proposes a hybrid reverberation model by integrating two conventional models, namely, the multichannel linear prediction (MCLP) model and the spatial coherence model. The late reverberation is divided into two components.
T. Liu, Zhihua Lu, J. P. J. da Costa, T. Fei   +3 more
semanticscholar   +1 more source

Multi-Resolution Convolutional Residual Neural Networks for Monaural Speech Dereverberation

IEEE/ACM Transactions on Audio Speech and Language Processing
It is known that the reverberant speech in different acoustic environments varies according to reverberation time. However, most deep learning based speech dereverberation methods rely on a single deep model to learn the context information.
Lei Zhao, Wenbo Zhu, Shengqiang Li, Hong Luo, Xiao-Lei Zhang, S. Rahardja   +5 more
semanticscholar   +1 more source

Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation

IEEE/ACM Transactions on Audio Speech and Language Processing
Speech enhancement and dereverberation approaches based on neural networks are designed to learn a transformation from noisy to clean speech using supervised learning.
L. Frenkel, Shlomo E. Chazan, Jacob Goldberger   +2 more
semanticscholar   +1 more source

Graph Attention Based Multi-Channel U-Net for Speech Dereverberation With Ad-Hoc Microphone Arrays

Interspeech
Speech dereverberation with ad-hoc microphone arrays seems not studied sufficiently, particularly in the scenario where the reverberation time is large.
Hongmei Guo, Yijiang Chen, Xiao-Lei Zhang, Xuelong Li   +3 more
semanticscholar   +1 more source

On phase recovery and preserving early reflections for deep-learning speech dereverberation.

Journal of the Acoustical Society of America
In indoor environments, reverberation often distorts clean speech. Although deep learning-based speech dereverberation approaches have shown much better performance than traditional ones, the inferior speech quality of the dereverberated speech caused by
Xiaoxue Luo, Yuxuan Ke, Xiaodong Li, C. Zheng   +3 more
semanticscholar   +1 more source

Multimicrophone Based Speech Dereverberation

2018
Speech signal received by distant microphones in real environments contains reverberation and noise. This deteriorates the quality of received signal. However to improve the speech quality, it is essential to remove reverberation and noise. The process of removing reverberation and reproducing original speech is called dereverberation.
Seema Vitthal Arote, Mangesh Sudhir Deshpande   +1 more
openaire   +1 more source

An Integrated Deep Learning Model for Concurrent Speech Dereverberation and Denoising

Journal of Advances in Information Technology
Abstrac t—Speech is most likely the simplest and efficient type of human-human communication, as well as the most intuitive and effective way of human-machine interaction.
V. Mane, Seema S. Arote, S. Shaikh
semanticscholar   +1 more source

Dereverberation after water migration

SEG Technical Program Expanded Abstracts 1998, 1998
Steeply dipping residual reverberations are commonly observed after conventional, single trace, lagged dereverberation. An empirical study of the kinematics of water-bottom reverberations has led to the development of a simple procedure that fully dereverberates zerooffset seismic data with a flat water-bottom and arbitrarily dipping sub-surface events.
openaire   +1 more source