A nonlinear cepstral compensation method for noisy speech processing (音声言語情報処理 研究報告 第1回音声言語シンポジウム(SPLC))
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概要
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A nonlinear method is investigated in this paper to eliminate the influence of addictive noise on clean speech signal. The noise compensation is implemented through nonlinear averaging with exponential weights in time domain so that the most recent sampled datum is emphasized highest and previous ones exponentially less. To start this nonlinear algorithm, the first several hundred sampled data are pre-processed using conventional arithmetic averaging. In order to assess the effectiveness of this method, averaged distance of LPC cepstrum vector between noisy speech or exponentially averaged noisy speech and clean one is adopted as distortion measure. For 5 Japanese vowels, the cepstrum distortion of contaminated speech is obviously improved with S/N ratio ranging from 0 dB ∼ 20 dB. For a population of 20 persons and each person with 5 speeches at S/N level of 0 dB ∼ 20 dB, success rate of speaker identification in full matching way can be increased by 4%.
- 一般社団法人情報処理学会の論文
- 1999-12-20
著者
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Kotani K
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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Kotani Koji
Graduate School Of Engineering Tohoku University
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Kotani Koji
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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OHMI Tadahiro
New Industry Creation Hatchery Center, Tohoku University
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Pan Z
New Industry Creation Hatchery Center Tohoku University
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Pan Zhibin
Department of electronic engineering, graduate school of engineering, Tohoku university
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Pan Zhibin
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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Kotani Koji
Laboratory For Electronic Intelligent Systems Research Institute Of Electrical Communication Tohoku
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Kotani K
Tohoku Univ. Sendai‐shi Jpn
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Ohmi Tadahiro
New Industry Creation Hatchery Center Future Information Industry Creation Center Tohoku University
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Ohmi Tadahiro
New Industry Creation Hatchery Center (niche) Tohoku University
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