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语音信号时域分析，短时过零率，短时能量分析，MATLAB实现-speech signal time-domain analysis, short-term zero rates, short-term energy analysis, MATLAB
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录制一段个人的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用双线性变换法和窗函数法设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。-Record a personal voice signal, and recording the signal is sampled draw sampled
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本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。-This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and thro
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基于matlab对语音信号的分析，利用各种滤波器，频谱分析等功能。-Based on matlab analysis of speech signals, using various filters, spectral analysis and other functions.
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This project gives the design of control system and
speaker recognition code using matlab. Matlab’s straightforward
programming interface makes it an ideal tool for speech analysis
projects. For the current project, experience was gained in
g
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In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Dis
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语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
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语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的-Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound,
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MATLAB软件平台下，利用函数wavread对语音信号进行采样，记住采样频率和采样点数；
2）画出语音信号的时域波形，对采样后的语音进行fft变换，得到信号的频谱特性；对语音信号分别加入正弦噪声和白噪声，画出加噪信号的时域波形和频谱图；
3）根据对加噪语音信号谱分析结果，确定滤除噪声滤波器的技术指标，设计合适的数字滤波器，并画出滤波器的频域响应；
4）用所设计的滤波器对加噪的信号进行滤波，在同一个窗口画出滤波前后信号的时域图和频谱图，对滤波前后的信号进行对比，分析信号变化；
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This MATLAB exercise computes the log magnitude of the STFT of a specified frame of speech. Then, using the
same frame of speech, the exercise computes LPC log spectral matches to the speech frame, using the autocorrelation
method, the covariance
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his MATLAB exercises illustrates an algorithm for estimating the locations of the formants of voiced speech intervals based on the locations of the speech polynomial roots as obtained a frame-based analysis of a speech signal using the method of Line
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matlab编写的元胞自动机，基于欧几里得距离的聚类分析，完整的基于HMM的语音识别系统。- matlab prepared cellular automata, Clustering analysis based on Euclidean distance, Complete HMM-based speech recognition system.
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FIR 底通和带通滤波器和IIR 底通和带通滤波器，matlab小波分析程序，完整的基于HMM的语音识别系统。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, matlab wavelet analysis program, Complete HMM-based speech recognition system.
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