搜索资源列表
soundsignal
- 利用短时平均过零率和短时能量等特征，对输入的语音信号进行端点检测。
vad
- 语音信号的端点检测matlab程序，利用短时平均能量和短时平均过零率判断语音端点的起始。还有语音信号信噪比的计算程序。
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
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
ddjc
- 利用短时平均能量和短时平均过零率，对语音信号进行端点检测-Average energy use of short-term and short-time average zero-crossing rate, speech endpoint detection signal
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
Temporal_features_extraction
- 个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For you
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
yuyinshiyu
- 语音信号处理 时域分析 短时能量 短时平均过零率 短时自相关函数- a=wavread( beifeng.wav ) subplot(6,1,1),plot(a) N=32 for i=2:6 h=linspace(1,1,2.^(i-2)*N)；
package
- 可进行短时平均能量，短时平均幅度，短时平均过零率，短时自相光，短时傅里叶变换的函数,使用方便，-The average energy can be short-term, short-term average rate, the average short-term zero-crossing rate, short-term autocorrelation of light, short-time Fourier transform of the function, easy to use,
short-term-analysis-
- 完成对一段语音信号的短时分析，语音信号要包括清音、浊音和无声段，求其短时平均能量、短时平均过零率、短时自相关函数和短时功率谱；-Complete short-term analysis of a voice signal, the specific requirements: a voice signal to include the voiceless, voiced, and silent segments 2, find its short-term average energy, sh
timeDomainAnalysis
- 基于Matlab的语音信号的时域分析，包括短时平均能量，短时平均过零率，短时自相关系数，短时平均幅度-Based on Matlab speech signal time-domain analysis, including short-term average energy, short-time average zero-crossing rate, short-term autocorrelation coefficient, the short-term average
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.
duanshipingjunguolinglv
- 只是一个关于短时平均过零率的matlab代码-Just a short-time average zero-crossing rate on the matlab code
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
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
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)
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.)