speech signal processing

A speech recorder and player system based on 4kb/ s dispersed-pulse CELP ( DP-CELP) speech coding algorithm is being developed by Telecommunication and Signal Processing Lab in BJUT.

北京工业大学通信与信号处理研究室也正在开发一种基于4kb／s散布脉冲CELP（DP-CELP）语音编解码算法的DSP实时语音记录和回放系统。

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Speaker recognition, also known as voiceprint recognition, is an important branch of speech signal processing and is one of the most popular research fields about speech.

说话人识别又称声纹识别，是语音信号处理中的重要组成部分，是当前的研究热点之一。

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Advances of Research on Speech Signal Processing Strategy in Cochlear Implant

人工电子耳蜗语音信号处理方法的研究进展

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After the description of the acoustic basics of speech signal processing and speech signal generation, front-end processing, endpoint detection for the voiceprint identification system is made. It also introduces speech endpoint detection method with dual-threshold two sentences and the application.

在描述了语音信号处理的声学基础知识和语音信号的产生之后，针对声纹识别系统做了前端处理&端点检测，介绍了双门限两级判决的语音端点检测方法及应用。

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this is also a significant research direction in robust speech signal processing, and it has very active signification to speech recognition and speech enhancement.

这也是稳健（Robust）语音信号处理中的一个重要研究方向，对语音识别、语音增强等都有着非常积极的促进意义。

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Voice conversion is a new branch of the speech signal processing, the technology can be used in text-to-speech system, film dubbing, secure communication and so on, it has very important research value.

语音转换是语音信号处理领域一个较新的分支，该技术可用于文语转换系统、电影配音和保密通信等多个领域，具有很重要的研究价值。

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In the recent years, the improvement of the microprocessor performance promotes the robot to develop fast, especially the appearance of DSP which has mass memory and high-speed operation makes it possible that a robot can complete the complex speech signal processing and action instruction off line.

近几年来微型处理器性能的提高促进了机器人的迅速发展，特别是大存储量及高速运算DSP处理芯片的出现使机器人在脱机状态下，独立完成复杂的语音信号处理和动作指令成为可能。

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Automatic speaker recognition is the processing of automatically recognizing who is speaking by using speaker specific information included in speech signal.

自动说话人识别是指根据包含在语音中的同说话人有关的信息来自动识别说话人。

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Fast Realization of Long Signal Convolution Computation and Its Application to Speech Processing

长信号卷积的快速运算及其语音处理的应用

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nowadays the vad is a hot spot in the speech signal processing field.

语音检测算法是现在语音信号处理研究的一个热点。

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Therefore, speech enhancement technique plays an important roll in speech signal processing.

为了改善语音处理的质量，语音增强就成为语音信号处理中很重要的组成部分。

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And from time and frequency range, we analysis musical note signal processing method systematically. And use some algorithms of speech signal processing in the musical note detection, then we make some advance according to the characteristics of the piano tuning.

并从时域和频域两方面系统分析了乐音信号处理的方法，将语音识别技术中的一些算法应用于乐音识别，再结合钢琴调音的特点进行了改进。

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Speech separation has been a hot topic in signal processing society recently years, which has many applications and influence in telephone conference, hearing aid, portable devices, speech recognition.

语音信号的分离近年来成为信号处理领域的一个研究热点，它在电话会议、助听器及便携设备、机器的语音识别方面有很多的应用与影响。

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This paper advances a new method for the noise reduction based on the difference function, analyzes on its principle, and illustrates the SNR ( signal-to-noise ratio) improving effect by SPAD ( speech processing system by using auto-correlation function).

提出了一种新的差分函数降噪方法，对其原理进行了分析，并对差分函数声音处理方式的信噪比改善效果进行了说明。

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Blind separation of speech signals has become one of the attractive trend in the field of signal processing in recent years, owing that it has a wide application prospect in speech recognition system, computer hearing, mobile speech data communication and television and telephone conference.

因其在语音识别系统、计算机听觉、移动语音数据通信以及电视电话会议中具有广泛的应用前景，近年来日益成为信号处理领域的研究热点之一。

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Therefore the experiments provide an example to validate the hypothesis that the binaural masking effect is the result of the high level auditory system processing binaural sound signal, and it also hints that by using stereophonic, reproduction speech intelligibility can be improved in communication systems.

因此文中的实验为双耳掩蔽是听觉系统的高层对双耳信号处理这假设提供了例证，并提示通信系统采用立体声作可提高重发语言清晰度。

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With regard to communication security, the safekeeping of password and real-time processing in speech signal encryption based on triple Data Encryption Standard ( 3DES) were analyzed. In addition, the basic framework of speech encryption and the hardware system design in encryption telephone were presented.

针对通信安全性问题，分析了三重数据加密的密钥保管问题和语音加密的实时处理技术，提出了将算法移植到电话中加密语音信号的系统结构并进行了硬件设计。

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Elimination of the background noise in speech is one of the most challenging problems of speech signal processing.

剔除语音中的背景噪声是语音信号处理中具有挑战性的问题。

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it also studies the key technology in speech signal processing, such as short-time analysis, linear predictive analysis, vector quantization and code excited linear prediction, which lays the theoretical foundation for analyzing principle of cs-acelp algorithm.

并对语音信号处理中的关键技术（短时分析、线性预测分析、矢量量化和码激励线性预测）进行了介绍，为分析CS-ACELP算法的原理奠定了理论基础。

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