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F2_6764
- 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处
yuyinshibie
- 语音信号的时频特性 语音信号的产生模型 语音信号的短时分析技术 语音信号线性预测分析 语音识别-Time-frequency characteristics of speech signal generation model of speech signal short-time speech signal analysis of linear prediction analysis of speech signals speech recognition
dsp1
- 基于MATLAB的语音信号处理短时分析，可用于初学者实验内容，附实验截图-MATLAB-based short-time analysis of speech signal processing, can be used for experimental content for beginners, with a test screenshot
yuyinshiyupinyufenxi
- 语音信号的时域频域分析，从短时能量到语谱图，以及线性预测参数和梅尔倒谱系数-Speech signal in time domain frequency domain analysis, from the short-term energy to the spectrogram, and the linear prediction parameters and the Mel cepstral coefficients, etc.
Matlab-spectrumananalysis
- 该文给出了一种利用matlab系统实现频谱分析与显示的方法。该方法对语音信号进行基于FFT的短时频谱分析，频谱图的伪彩色映射及显示。-This paper presents a system implementation using matlab spectrum analysis and display methods. The method is based on the speech signal short-time FFT spectrum analysis, spectrum and
Speech-signal-short-time-analysis
- 详细说明：语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序-Details: short-time speech signal analysis, including: framing, short-term energy, short-term average rate, short-time zero crossing rate, short-time a
Speech-signal-short-time-analysis
- 收集了一些处理声音信号的实例，可供对音频处理的爱好者参考使用。-collected some examples of control noice signal. fans can used by reference.
idbm
- Descr iption Applies ideal binary mask to noise corrupted speech signal. The processing takes place within an FFT based short-time spectral analysis-modification-synthesis framework. The ideal binary mask is computed from an oracle (true) sign
Speech-signal-short-time-analysis
- 语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码（包括：lpc 谱、短时谱分析、短时过零率、短时能量等）-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.
Speech-signal-short-time-analysis
- Speech signal short time analysis
short-term-spectrum-of-signal
- 经过语音信号短时谱分析，掌握短时傅里叶变换的定义，熟悉窗口形状、窗长对短时傅里叶变换的影响。 -After short-term spectrum of speech signal analysis, to grasp the definition of the short time Fourier transform, the familiar shape of the window, the window length on the short time Fourier transfor
Speech-signal-short-time-analysis
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等-Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-t
Short-time-analysis
- 语音信号处理，含短时平均过零率、短时平均能量和短时平均幅度等的求解. -Speech signal processing, including short-time average zero-crossing rate, short-term average energy and short-term average of solving.
Short-time-speech-signal-analysis
- 短时语音信号分析工具包，可用于简单语音处理，也可与其他函数配合使用构成语音识别系统-Short-time speech signal analysis toolkit for simple voice processing, can also be used in conjunction with other functions constitutes a speech recognition system
yuyin
- 语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。-Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude diff
Speech-signal-short-time-analysis
- The code provides analysis of speech signals for communication
Digital-Signal-Processing
- 包括语音信号的模型，语音信号的短时时域分析和频域分析-Including short-term time domain and frequency domain analysis of the speech signal analysis model, the speech signal
daima
- 理解语音信号的非平稳特性，在信号分帧处理的基础上，根据短时分析方法实现语音信号的短时傅里叶变换STFT。-To understand the non-stationary characteristics of speech signal, based on the signal processing, the short time Fu Liye transform of speech signal is realized by the method of short time analysis
语音信号处理
- 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量，短时过零以及短时自相关函数分析和频域的傅里叶变换，功率谱估计，短时傅里叶变换，小波分析，语音信号的短时综合，语谱图各种分析，充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time dom