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语音信号的短时分析
- 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
endpoint.rar
- 端点检测(短时能量,短时平均幅度,短时过零率),short-term spectrum,spectrogram,End point detection
WangEPD
- 基于短时能量和短时过零率来实现语音端点检测。也称为双门限比较法,是一种传统的 语音端点检测方法。现在已经有研究人员提出若干其他更加高效和有效的检测方法,但 是这个方法不失为一种最简单的方法,可以通过程序来获得语音端点检测的感性认识和 体会。内的程序读取WAV文件,程序附有详细的使用说明和注释,以及若干测试用的语音文件。-Based on the short-term and short-term energy to achieve zero rate of voice activit
speech
- 语音参数短时能量,短时过零率,短时平均幅度,语音端点检测,fft变换与反变换-Voice parameters of short-time energy, short-time zero-crossing rate, short-term average rate, voice activity detection, fft transform and inverse transform
speech
- 语音信号时域特性分析,包括时域谱,短时过零率分析,短时幅值,短时能量,自相关函数-Analysis of time-domain characteristics of speech signals
ForceImplementShowMove
- ImagConvert 自己用VC编写的一个读取wave文件,并计算短时能量、短时过零率以及自相关函数的程序。-VC with the preparation of their own ImagConvert a wave file to read and calculate the short-time energy, zero-crossing rate and short-time auto-correlation function of the process.
fenzhenchuli
- 语音特征提取,如过零率,能量比,短时能量。须导入MAV音频。-Voice feature extraction, such as zero-crossing rate, energy ratio, short-term energy. MAV audio to be imported.
frame
- 读取语音文件 进行分帧加窗 及计算语音文件短时能力和过零率。可用于对音乐哼唱检索系统的开发及研究学习。-Voice files to read sub-frame and calculation of windowed audio files and short-term zero-crossing rate. Music can be used to Query by Humming system development and research study.
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
yuyinxinhaojiance
- 基于MATLAB的语音信号端点检测,短时能量分析,短时过零率,和GUI界面实现-aaaaa
yuyin
- 时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率-Time-domain waveform, short-term energy, short-term average rate, short-term zero crossing rate, short-term rates over Level
myVoice
- 用matlab将hanning窗、hamming窗、Blackman窗画在同一个图中。语音分帧,加窗,短时能量,短时过零率,端点检测-Using matlab to hanning window、hamming window and Blackman window draw in the same graph.Voice sub-frame, add windows, short-term energy, short-term zero-crossing rate, endpoint detec
Some_function_of_speech_signal_processing
- 语音信号处理的一些函数,包括:短时谱、短时能量、短时过零率和端点检测。-Some of voice signal processing functions, including: short-term spectrum, short-term energy, short-time zero crossing rate and endpoint detection.
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程,以及相关技术。 端点检测:基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取:LPCC和MFCC 参数模板存储:HMM和N_Gram 识别阶段:DWT 各阶段的相关技术都给了详细的介绍,绝对是好东西!-More detailed introduction to the speech recognition system implementation process and related technologie
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
用短时平均能量和短时平均过零率双门限检测VAD
- 用短时平均能量和过零率的特征参数对语音信号进行端点检测, 以消除静默帧和噪声帧的干扰
语音短时能量、平均幅度、平均过零率
- 语音信号MATLAB特征获取,包括语音短时能量、平均幅度、平均过零率(Speech signal MATLAB feature acquisition, including voice short-term energy, average amplitude, average zero crossing rate)
sound
- 求一段音频信号的短时过零率,可用于特征的选取,以及对音频进行分类筛选等场合。(For the sound process)
short_zero_crossing_rate
- 语音信号的短时过零率求取,此过程为语音信号的一个重要特征提取过程,可用于端点检测等过程。(This process is an important feature extraction process for speech signals and can be used for endpoint detection and other processes.)
短时平均过零率
- 读入语音文件bluesky1.wav(内容为“蓝天,白云,碧绿的大海”)中的数据,进行分帧处理,然后计算其短时平均过零率。(Read the data from the voice file bluesky 1. wav (blue sky, white clouds, green sea), frame it, and calculate its short-term average zero-crossing rate.)