Results 191 to 200 of about 2,944 (228)

Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation

IEEE/ACM Transactions on Audio Speech and Language Processing
Speech dereverberation aims to alleviate the detrimental effects of late-reverberant components. While the weighted prediction error (WPE) method has shown superior performance in dereverberation, there is still room for further improvement in terms of ...
Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen   +3 more
semanticscholar   +1 more source

Joint Dereverberation and Beamforming With Blind Estimation of the Shape Parameter of the Desired Source Prior

IEEE/ACM Transactions on Audio Speech and Language Processing
Dereverberation and acoustic beamforming is used to capture the speech of a desired speaker in the presence of interfering speakers in a reverberant room using an array of microphones.
Shekhar Kumar Yadav, Nithin V. George
semanticscholar   +1 more source

Dereverberation by Linear Systems Techniques

IEEE Transactions on Geoscience Electronics, 1971
A linear system approach is presented for the modeling of a stationary layered medium assuming representation by a finite number of thin layers and wave propagation normal to these layers. A linear recursive mathematical model is developed and a method for the identification of parameters is discussed. The results, although specifically derived for the
John A. Schell, Stephen Riter, Ralph K. Cavin   +2 more
openaire   +1 more source

Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation

International Conference on Signal Processing, Communications and Computing
Speech dereverberation aims to attenuate the effects of late-reverberant components. While the plug-and-play weighted prediction error (PnPWPE) method represents an innovative approach to dereverberation with exceptional performance, it can be further ...
Ziye Yang, Jie Chen, Cédric Richard, Junjie Li   +3 more
semanticscholar   +1 more source

Speech Dereverberation with Deconvolution Regularized by Denoising

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Deconvolution-based speech dereverberation continues to present challenges due to the difficulties in accurately acquiring Room Impulse Responses (RIRs) and the inherently ill-conditioned nature of deconvolution.
Haonan Hu, Ziye Yang, Jie Chen, Lijun Zhang   +3 more
semanticscholar   +1 more source

Diffusion Model-Based MIMO Speech Denoising and Dereverberation

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
This paper presents an extension of a diffusion model-based single microphone Speech Enhancement (SE) method, known as the Score-Based Generative Model for SE (SGMSE), to a Multi-Input Multi-Output (MIMO) SE.
Rino Kimura, Tomohiro Nakatani, Naoyuki Kamo, Marc Delcroix, Shoko Araki, Tetsuya Ueda, Shoji Makino   +6 more
semanticscholar   +1 more source

Third-Order Tensor Decomposition Based Multichannel Linear Prediction for Robust Dereverberation

International Workshop on Acoustic Signal Enhancement
Reverberation is one of the major causes of speech degradation. The popular weighted prediction error (WPE) technique performs dereverberation by estimating the late room reflections using a multi-channel prediction filter.
Shekhar Kumar Yadav, Nithin V. George
semanticscholar   +1 more source

Frame-Online DNN-WPE Dereverberation

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018
Signal dereverberation using the weighted prediction error (WPE) method has been proven to be an effective means to raise the accuracy of far-field speech recognition. But in its original formulation, WPE requires multiple iterations over a sufficiently long utterance, rendering it unsuitable for online low-latency applications.
Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, Tomohiro Nakatani   +4 more
openaire   +1 more source

Dual-Path Minimum-Phase and All-Pass Decomposition Network for Single Channel Speech Dereverberation

IEEE International Conference on Acoustics, Speech, and Signal Processing
With the development of deep neural networks (DNN), many DNN-based speech dereverberation approaches have been proposed to achieve significant improvement over the traditional methods.
Xi Liu, Szu-Jui Chen, John H. L. Hansen
semanticscholar   +1 more source

Single-Microphone Blind Dereverberation

2005
Although a number of dereverberation methods have been studied, dereverberation is still a challenging problem especially when using a single microphone. An important aspect of single-channel speech enhancement is the characteristic feature of speech signals that allows us to restore the quality of source signals.
Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita   +2 more
openaire   +1 more source