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Your search keyword '"Wang, Jhing-Fa"' showing total 7 results
Start Over Author "Wang, Jhing-Fa" Topic speech enhancement
7 results on '"Wang, Jhing-Fa"'

1. Blind Signal Separation with Speech Enhancement

Author

Lin, Chang-Hong, Lee, Hsiao-Ping, Li, Jyun-Hong, Su, Chih-Wei, Chin, Yu-Hao, Wang, Jhing-Fa, Wang, Jia-Ching, Huang, Yueh-Min, editor, Chao, Han-Chieh, editor, Deng, Der-Jiunn, editor, and Park, James J. (Jong Hyuk), editor

Published
2014
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4. Ubiquitous and Robust Text-Independent Speaker Recognition for Home Automation Digital Life

Author

Wang, Jhing-Fa, Kuan, Ta-Wen, Wang, Jia-chang, Gu, Gaung-Hui, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sandnes, Frode Eika, editor, Zhang, Yan, editor, Rong, Chunming, editor, Yang, Laurence T., editor, and Ma, Jianhua, editor

Published
2008
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5. Real World Speech Processing

Author

B. H. Juang, Juang Biing-Hwang, Jhing-Fa Wang, Wang Jhing-Fa, Furui Sadaoki, and Sadaoki Furui

Subjects
Speech enhancement, Microphone array, Speech acquisition, Discriminative model, Speech recognition, Model selection, Psychology, Speech processing, Wavelet packet decomposition, Spontaneous speech
Abstract

Guest Editorial Jhing-Fa Wang, Sadaoki Furui, Biing-Hwang Juang. A Robust Bimodal Speech Section Detection K. Murai, S. Nakamura. Acoustic Feature Analysis and Discriminative Modeling of Filled Pauses for Spontaneous Speech Recognition Chung-Hsien Wu, Gwo-Lang Yan. Simultaneous Recognition of Distant-Talking Speech of Multiple Talkers Based on the 3-D N-Best Search Method P. Heracleous, S. Nakamura, K. Shikano. Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images S. Tamura, K. Iwano, S. Furui. Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator Shi-Huang Chen, Jhing-Fa Wang. Use of Microphone Array and Model Adaptation for Hands-Free Speech Acquisition and Recognition Jen-Tzung Chien, Jain-Ray Lai. Multimedia Corpus of In-Car Speech Communication N. Kawaguchi, K. Takeda, F. Itakura. Speech and Language Processing for Multimodal Human-Computer Interaction L. Deng, Y. Wang, K. Wang, A. Acero, H. Hon, J. Droppo, C. Boulis, M. Mahajan, X.D. Huang. Blind Model Selection for Automatic Speech Recognition in Reverberant Environments L. Couvreur, C. Couvreur.

Published
2004

6. Novel Binaural Spectro-temporal Algorithm for Speech Enhancement in Low SNR Environments.

Author

Sung, Po-Hsun, Chen, Bo-Wei, Jang, Ling-Sheng, and Wang, Jhing-Fa

Abstract

A novel BInaural Spectro-Temporal (BIST) algorithm is proposed in this paper to increase the speech intelligibility in low or negative SNR noisy environments. The BIST algorithm consists of two modules. One is the spatial mask for receiving sound from the specific direction, and the other is the spectro-temporal modulation filter for noise reduction. Most speech enhancement algorithms are not applicable in harsh environments because the energy of speech is covered by the noise. To increase the speech intelligibility in low or negative SNR noisy environments, a distinctive approach is proposed to solve this problem. First, the BIST algorithm takes binaural auditory processing as a spatial mask to separate the speech and noise according to their locations. Next, the modulation filter is applied to reduce the noise source in the scale-rate (spectro-temporal modulation) domain according to their different acoustic feature. It works like the spectro-temporal receptive field (STRF) which is the perception response of human auditory cortex. The experimental results demonstrate that the proposed BIST speech enhancement algorithm can improve 20% from the noisy speech at SNR-10dB. [ABSTRACT FROM PUBLISHER]

Published
2012
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