Adaptive Nonlinear Regression Using Multiple Distributed Microphones for In-Car Speech Recognition(Speech Enhancement, <Special Section>Multi-channel Acoustic Signal Processing)
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概要
- 論文の詳細を見る
In this paper, we address issues in improving hands-free speech recognition performance in different car environments using multiple spatially distributed microphones. In the previous work, we proposed the multiple linear regression of the log spectra (MRLS) for estimating the log spectra of speech at a close-talking microphone. In this paper, the concept is extended to nonlinear regressions. Regressions in the cepstrum domain are also investigated. An effective algorithm is developed to adapt the regression weights automatically to different noise environments. Compared to the nearest distant microphone and adaptive beamformer (Generalized Sidelobe Canceller), the proposed adaptive nonlinear regression approach shows an advantage in the average relative word error rate (WER) reductions of 58.5% and 10.3%, respectively, for isolated word recognition under 15 real car environments.
- 社団法人電子情報通信学会の論文
- 2005-07-01
著者
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TAKEDA Kazuya
Nagoya University
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TAKEDA Kazuya
Department of Nuclear Engineering, School of Engineering, Tokai University
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Takeda Kazuya
Nagoya Univ.
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Takeda Kazuya
Department Of Information Electronics Graduate School Of Engineering Nagoya University
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MIYAJIMA Chiyomi
Department of Computer Science and Engineering, Nagoya Institute of Technology
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Takeda Kazuya
Nagoya Univ. Nagoya‐shi Jpn
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MIYAJIMA Chiyomi
Nagoya University
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Li Weifeng
The Department Of Information Electronics Graduate School Of Engineering Nagoya University
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LI Weifeng
Department of Information Electronics, Graduate School of Engineering, Nagoya University
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NISHINO Takanori
Department of Media Science, Graduate School of Information Science, Nagoya University
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ITAKURA Fumitada
Faculty of Science and Technology, Meijo University
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Itou Katsunobu
Faculty Of Computer And Information Sciences Hosei University
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Miyajima Chiyomi
The Graduate School Of Information Science Nagoya University
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ITAKURA Fumitada
Graduate School of Information Engineering, Meijo University
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Nishino Takanori
Center For Information Media Studies Nagoya University
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Itakura Fumitada
The Faculty Of Science And Technology Meijo University
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ITOU Katsunobu
Department of Media Science, Graduate School of Information Science, Nagoya University
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Nishino Takanori
Mie Univ. Tsu‐shi Jpn
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LI Weifeng
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Beijing, China and Shenzhen Key Laboratory of Information Science and Technology
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