Compensation of Speech Coding Distortion for Wireless Speech Recognition(Speech and Hearing)
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概要
- 論文の詳細を見る
In this paper, we perform some experiments to show that the quantization noise caused by low-bit-rate speech coding can be characterized as a white noise process. Then, the signal-to-quantization noise ratio of the decoded speech for a given bit-rate is estimated by observing the perceptual speech quality equivalent to the artificially generated noisy speech obtained by adding a white Gaussian noise source. This information is incorporated into the parameter tuning of a noise-robust compensation algorithm for speech recognition so that the compensation algorithm can be performed better under a range of the estimated SNRs. Finally, we apply the compensation algorithm to a connected digit string recognition system that utilizes speech signals decoded by the GSM adaptive multi-rate (AMR) speech coder. It is shown that the noise-robust compensation algorithm reduces word error rates by 15% or more at low bit-rate modes of the AMR speech coder.
- 一般社団法人電子情報通信学会の論文
- 2004-06-01
著者
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Kim Hong
Department Of Chemistry Advanced Materials Chemistry Research Center Korea University
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Kim Hong
Department Of Information And Communications Kwangju Institute Of Science And Technology (k-jist)
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Kim Hong
Department of Applied Sciences, Korea Maritime University, Busan 606-791, Korea
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