语音信号分析在数字语音处理中起着十分重要的作用。
Voice analysis is an important subject of the digital sound processing.
可以求出语音信号的LPC倒谱特征向量，该特征向量在语音信号分析中得到了广泛的应用。
Voice signal can be obtained by LPCCEP eigenvector, the eigenvector of the voice signal analysis has been widely used.
本文通过对语音信号产生机制的分析，将分形维方法用于普通话孤立词语音信号起止端点的检测。
Based on analyses to the generation mechanism of speech signals, this paper presents a novel method which USES fractal dimension to determine speech terminals for mandarin isolated words.
HHT作为一种新的信号分析理论，已逐步应用到地震信号分析、机械故障诊断、流体力学、医学信号处理和语音信号处理等领域。
As a new signal analysis theory, HHT has gradually applied to seismic signal analysis, mechanical failure diagnosis, hydrodynamics, medical signal processing, voice signal processing, and so on.
对语音信号进行处理和仿真分析，提出了适合多媒体网络保密通信的音频获取和压缩方法，并将其编程实现。
Process and analyze speech signal by simulation. Give a method on audio record and compression adapting multi-medium web secure communication, then implement by programming.
分析其语音文件的格式是语音信号处理的一项重要工作。
It is important to analyze the format of WAV for the processing of speech signals.
说话人转换的关键之处是从语音信号中提取可分析合成的说话人特征。
The key point of the research of voice conversion is to extract synthesisable speaker identifications from speech signals.
本文采用语音信号的正弦表示方法并利用耳蜗模型提取了语音信号的基本特征参数，建立了一个语音分析／合成系统。
The sinusoidal representation of speech signal and a cochlear model are used to extract speech parameters in this paper, and a speech analysis/synthesis system is developed using the model.
提出了一种在自相关域对语音信号进行线性预测分析的方法。
In this paper, a new linear prediction model in autocorrelation domain for speech signal is presented.
文中对纺织厂车间的噪声监测功能进行了分析，对其中噪声等语音信号的采集，处理和报警提出了可行的解决方案。
The paper analyses the noise monitoring function of the textile plant and puts foward to a viable solution to the acquisition, processing and alarm of the noise speech signal.
针对语音信号频谱分析实际上是时变频谱分析的特性，详细地讨论了用FFT技术对语音进行频谱分析过程中的方法问题。
Speech signal spectrum analysis is the time-varied spectrum analysis. FFT technique on speech signal spectrum analysis are discussed in detail in this paper.
分析了语音信号特征参数提取方法的优劣，并总结得出了参数提取的原则，并对模板训练匹配的问题进行了研究。
According analyse the way of feature parameter extraction, we get the principle of feature parameter extraction, also study the theory of the model-training and model - matching.
此外，一些典型情况的嘶哑语音信号被数字信号处理方法分析，这些方法包括FFT、LPC、倒谱技术、伪彩色编码等。
Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.
基于MATLAB语言编写，完成对语音信号的采集、频谱分析及滤波。
Based on MATLAB language, complete speech signal spectrum analysis and collecting and filtering.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
By Analysing speech signal and conventional denoising method of threshold, a new mult-threshold based on wavelet transform method of speech signal denoising is proposed.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
有了语音信号的压缩技术，进而将线性预测理论应用于语音分析合成中。
Firstly, the linear prediction is used in the speech coding, to get the signal parameters and then realize the signal compression and transfer.
于是从语音产生模型入手，详细的分析了声门闭合时刻语音信号的性质，找到了浊音信号经过小波变换后周期性消失、极值点个数增多的原因。
Based on the speech produce model, we find the reason of periodicity disappearance and the extremum number increase by analysing the character of speech signal when the glottal closes.
本论文详细地介绍了隐马尔可夫模型的理论方法，突出了语音信号隐马尔可夫模型分析的重要性。
This thesis introduced in detail theories method of the Hidden Markov Model, outstanding the importance that Hidden Markov Model used in speech signal.
介绍了电子耳蜗的机理及连续交替取样（ C I S）语音信号处理方案，并对耳蜗的频率分析特性与小波变换的时间—尺度分析特点进行了比较；
The mechanism of a cochlear implant and its CIS speech processing strategy were presented. The time frequency analyzing property of WT was compared with that of human's cochlea.
采用了一种AMBE高压缩率的语音压缩算法，在对AMBE算法的理论分析的基础上，将该算法应用于系统中语音信号的压缩，既增加了终端用户数，又保证了通话质量。
This algorithm is applied to speech compression after being analyzed, which not only brings the increase of the users in each network telephone terminal but also ensure the quality …
介绍了信号频谱分析的原理及智能语音信号频谱仪的硬件结构和软件设计。
The principle of spectrogram analysis, hardware structure and software design of the digital voice signal spectrometer based on TMS320C50 is introduced in this paper.
本文首先总结了语音信号数字化处理过程，分析了常用的几种端点检测方法，并给出了其实验结果与一些相应的改进。
Firstly, the digital speech signal processing and some common speech endpoint detection methods are summarized and analysed. Some experiment results and improvements are also shown in the paper.
说话人转换是语音信号处理领域的一个较新的分支，它的研究对语音分析，语音编码，语音合成，语音增强，语音识别等语音信号处理的其它各个领域有重要的促进作用。
Voice conversion is a new area of speech technology; the studies on it will promote the research of speech analysis, speech coding, speech synthesis, speech enhancement, speech recognition and so on.
利用LV设计得到的虚拟音频处理仪则可以仅通过普通的声卡实现对语音信号的分析与识别，并可以达到较为理想的效果。
Utilize LV to design the virtual volume analysis can only through the ordinary sound to realize analysis fictitious, and can reach the result being satisfactory relatively.
研究了基于小波变换的语音去噪问题，在对传统阈值法去噪和语音特性分析基础上，提出一种改进的多阈值法语音信号去噪方法。
This paper introduces the application of wavelet transformation in speech signal denoising, describes in detail the method of soft threshold and hard threshold and points out their disadvantages.
线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术，它是语音信号数字处理技术在很多方面得以实现的基础。
Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.
根据语音识别算法原理，对语音信号的预处理、特征提取、模式匹配做了分析。
According to the voice identification arithmetic theory, the pretreatment of voice signal, the character distilling and pattern matching is analyzed.
本文结合语音信号中基音频率的频域特征及汉语语音的特点，利用小波分析技术，对汉语语音中韵母的基音频率等信息的提取进行了研究。
In this paper, taking account of the features of pitch and Chinese speech, we apply the Wavelet decomposition technique to analyse the pitch of Chinese speech.
本文结合语音信号中基音频率的频域特征及汉语语音的特点，利用小波分析技术，对汉语语音中韵母的基音频率等信息的提取进行了研究。
In this paper, taking account of the features of pitch and Chinese speech, we apply the Wavelet decomposition technique to analyse the pitch of Chinese speech.
应用推荐