Hidden markov models have been widely used for modeling sequences of weakly dependent random variables , with applications in as such as speech processing , neurophysiology and biology 隐马尔可夫模型可应用于弱相依随机变量的建模上，也可用作研究发音过程、神经生理学与生物遗传等方面的工具。
To improve the speech quality , it is necessary to adopt such speech processing techniques like speech compression , voice activity detection , echo cancellation , jitter buffer and so on 为了提高语音质量,需要采取一系列的语音处理技术,主要包括语音压缩技术、静音处理技术、回声消除技术、抖动缓冲技术等。
During the 11 - weeks internship programme , the interns were supervised by professors from three different departments to research on projects related to network coding , speech processing and robotics 在为期十一个星期的实习期里，实习生由三个学系的教授指导并进行实习，研究包括网络编码理论，语音处理和机器人等领域。
Objective to find a useful index for real - time detecting of speech endpoint and improving the performance of speech processing under low snr by analyzing fluctuation complexity of speech signals 摘要目的研究基于涨落复杂性测度的语音特征提取，提高低信噪比语音端点检测的正确率和鲁棒性，从而改善语音处理和分析的性能。
Always , the processing of the audio frequency signal is mainly concentrated on speech processing , such as speech recognition and talks identify etc . the research of audio retrieval based on content is still not much 一直以来,音频信号的处理主要集中于语音识别、说话者识别等语音处理方面的研究。基于内容的音频信息识别技术的研究还不多。
It is essential for speech processing system to have robust speech detection . a pca ( principal component analysis ) - based speech detection was proposed . we get a very good result form the examination of using this method 本文提出了将pca应用于语音检测，实现了语音和非语音的正确检测，并通过实验证明了这种方法是可行的，而且检测效果比较好。
Speech process technology , which is a major technology in the field of computrrized chinese information , is to transfer phonetic signal into digital signal , and then decode the digitalized signal into phonetic signal 语音处理技术是计算机中文信息处理领域的一项重要技术，它是把语音信号转换成数字信号，然后进行压缩存储，或把压缩的数字信号解压还原成语音信号。
Based on the discrete digital model , this paper briefly recount some basic terms and principles in low rate speech processing , focus on the research in the lineal predictive coding and narrate some key technologies in detail 本文从语音信号产生的离散数学模型出发，简要叙述了低速率语音编码的基本原理。然后文章对线性预测编码声码器的一些关键技术进行了详细的论述。
For its outstanding performance in blind identification and feature extraction ( or representation ) , ica has rapidly growing applications in various fields , e . g . , telecommunication systems , speech processing ( blind extraction ) , image enhancement , and biomedical signal processing 由于具有优异的盲辨识、特征提取和表示能力, ica已经日益广泛的应用于远程通信、语音提取(盲辨识) 、图像增强和生理信号处理等领域。
We first introduce the basic methods of speech processing in time domain . emphatically , we describe linear prediction and tonality detection of speech signal . moreover , we discuss the g . 726 speech waveform coding standard in details 本文首先介绍了语音波形时域分析处理的基本方法,对语音波形线性预测和音调检测技术作了重点描述,着重研究了g . 726语音波形编码算法,并在此基础上,对该算法进行了某些探讨改进,并用vc + +编程,在pc机平台上予以实现。
