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In this paper we propose a method for voice
activity detection (VAD) in a speech signal recorded in the
presence of noise. The so-called endpoint detection (EPD),
i.e., detection of voice activity (speech) boundaries is very
difficult if the
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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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周期信号频谱分析，数字滤波器设计，语音信号的处理-Spectral analysis of periodic signals, the digital filter design, and the processing of the speech signal
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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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语音信号的频谱分析
利用FIR数字滤波器对语音信号进行滤波
语音信号处理初步-回声估计和回声消除
数字图像处理算法初步-Spectral analysis of speech signal
Using FIR digital filter to filter the speech signal
Processing of speech signal initial echo estimation and echo cancellation
Digital image pr
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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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对信号进行频谱分析及滤波，语音信号的采集与处理，数字信号处理课设，有循环检测，周期性检测。- The signal spectral analysis and filtering, Acquisition and Processing of the speech signal, digital signal processing class-based, There are cycle detection, periodic testing.
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