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Evaluation of Speech Information Compression Coding System in Noisy Environments

Evaluation of Speech Information Compression Coding System in Noisy Environments
噪声环境下语音信息压缩编码系统的评估
批准号:
62550258
负责人:
MORIKAWA Hiroyoshi
金额:
$1.28万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for General Scientific Research (C)
财政年份:
1987
资助国家:
日本
项目状态:
已结题
起止时间:
1987 至 1988

项目摘要

项目成果

相关文献

中文摘要
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英文摘要
A speech information compression coding is an effective speech transimission method for the speech band limited to relatively narrow frequency range such as modile stations and international telephone. Speech coding systems such as ADPCM, ATC and LPC have lately been out into practical use. However these systems are highly degraded by background noise. The purpose of the investigation is to establish the basis of a high quality speech transmission system in the noisy environments. The following results were obtained by improving the previous our works in the modeling of speech production process and noise generation process, adaptive Kalman filtering and speech synthesis system.1. A method for speech/silence decision of speech corrupted by colored noise was proposed. This method is based on the properties of the short-time autocorrelation function of both speech and noise. After detecting the onset of speech activity, the adaptive spectrum estimation method was also developed to estimate both noise and speech spectrum.2. The proposed methods were used for the speech signal uttered in the room noise generated by air conditioner and computer. The validity of the methods were confirmed from the point of view of spectral estimation accuracy for both synthetic and natural speech.3. A method based on the adaptive Kalman filter was proposed to separate the speech signal from additive noise, in which the system parameters in the state-space representation of the speech production process were estimated adaptively.4. From the experiments for both synthetic and natural speech, it was confirmed that the adaptive Kalman filtering has the effect of noise reduction for both voiced and unvoiced speech, but the effect is larger for voiced speech than for unvoiced speech. The validity of the proposed system was also demonstrated by objective and subjective evaluation tests of the reconstructed speech.As ahown above, the initial goal of this study was almost accomplished.
期刊论文(12)
专著(0)
科研奖励(0)
会议论文
Hiroyoshi MORIKAWA.: Automatique-Productique Informatique Industrelle. 22. 53-68 (1988)
Hiroyoshi MORIKAWA.:Automatique-Productique Informatique Industrelle。
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通讯作者:
森川博由: 日本音響学会秋季研究発表会講演論文集. 1. 257-258 (1987)
Hiroyoshi Morikawa:日本声学学会秋季研究会议论文集。1. 257-258 (1987)。
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Hiroyoshi MORIKAWA: "Spectral Estimation of Speech Corrupted by Colored Noise" Traitement du Signal. 4. 439-445 (1987)
Hiroyoshi MORIKAWA:“被有色噪声破坏的语音的频谱估计”Traitement du Signal。
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Hiroyoshi MORIKAWA: "Noise Reduction of Speech Signal by Adaptive Kalman Filtering" Automatiquc-Productique Informatique Industrielle. 22. 53-68 (1988)
Hiroyoshi MORIKAWA:“通过自适应卡尔曼滤波降低语音信号的噪声”Automatiquc-Productique Informatique Industrielle。
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