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国際会議発表論文 / Proceedings >
情報科学研究科 / Graduate School of Information Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10061/8078
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| Title: | Source Adaptive Blind Signal Extraction Using Closed-Form ICA for Hands-Free Robot Spoken Dialogue System |
| Authors: | Yu Takahashi
Hiroshi Saruwatari
Yuki Fujihara
Kentaro Tachibana
Yoshimitsu Mori
Shigeki Miyabe
Kiyohiro Shikano
Akira Tanaka |
| Keywords: | Separation
speech enhancement
acoustic signal processing
adaptive signal processing
robot |
| Issue Date: | Apr-2009 |
| Publisher: | IEEE |
| Start page: | 3681 |
| End page: | 3684 |
| Abstract: | In this paper, we propose a new ICA-based BSS algorithm including estimation of sources' probability density functions (PDFs) to adapt the nonlinear activation function to various noise conditions. In the proposed method, closed-form second-order ICA is introduced as a computational-cost-efficient preprocessing to extract sources' PDFs, which is beneficial for real-time application. Compared with various type of conventional ICAs, e.g., fixed activation-function type and ML-based type, our proposed algorithm can give a faster and higher convergence. Based on the proposed source-adaptive ICA, we show a real-time noise reduction results under diffuse noise environment. Also we can demonstrate our recently developed hands-free robot spoken dialogue system via real-time ICA. |
| Description: | ICASSP2009: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 19-24, 2009, Taipei, Taiwan. |
| URI: | http://hdl.handle.net/10061/8078 |
| ISBN: | 9781424423545 |
| ISSN: | 1520-6149 |
| Rights: | Copyright 2009 IEEE |
| Text Version: | Publisher |
| Publisher DOI: | 10.1109/ICASSP.2009.4960425 |
| Appears in Collections: | 情報科学研究科 / Graduate School of Information Science
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