搜索资源列表
en
- 语音信号的时域和频域处理，包括各种参数，短时能量、短时平均过零率等-The time and frequency domain of the speech signal, including various parameters, short-term energy, short-term average zero-crossing rate, etc.
yuyinfenxi
- 利用自相关或平均幅度差提取基音原理，帧长160，帧移80。求能量E、过零率Z和基音周期pitch；采用自相关法或平均幅度差法求取基音周期，基音周期范围（80~400hz）；画出能量、过零率和基音曲线。(Pitch principle is extracted by means of autocorrelation or mean amplitude difference)
heapenqueue
- 语音信号端点检测仿真,内容涉及短时能量及过零率的计算(Speech signal endpoint detection simulation, the content involves the short-time energy and zero crossing rate calculation)
matlab
- 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(The short-time analysis of speech signal mainly includes: frame, short-time energy, short time average amplitude, short-time zero crossing rate, short-time autocorrelation functio
audioFeatureExtraction
- 过零率 (zero-crossing rate,ZCR)是指一个信号的符号变化的比率，例如信号从正数变成负数或反向。 这个特征在语音对比、语音识别和音乐信息检索(music information retrieval)领域得到广泛使用。(Zero-crossing rate (ZCR) refers to the rate at which a signal changes sign, for example, the signal changes from positive to negati
bin
- MATLAB语音信号短时分析，包括自相关，能量谱，过零率等(Short time analysis of MATLAB speech signals, including autocorrelation, energy spectrum, zero crossing rate, etc.)
vad
- 可对一段信号进行分帧加窗，利用过零率和短时能量检测语音端点(It can divide the frame into a window and use the zero crossing rate and short time energy to detect speech endpoints.)
endpoint
- 读取语音文件，预处理，短时能量、过零率分析，进行端点检测(Read voice files, preprocessing, short time energy, zero crossing rate analysis, endpoint detection.)
audio_tezheng
- 语音信号的时域、频域与倒谱域分析。 1.分析一帧清音和浊音的自相关函数和倒谱系数 2.用Matlab画出该段语音的时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率 3.选择一帧无声、清音和浊音的语音，用Matlab画出它们的对数幅度谱(Time domain, frequency domain and cepstrum domain analysis of speech signals. 1. Analyze the autocorrelation function and c
project_V3（注释）
- 可以对所给正弦信号进行采样，并判断过零点且输出频率和正弦信号一样的方波信号。用ePWM模块来确定采样频率，来一次中断采样一次，确保采样率。并对所采样的数据进行有效值计算(The given sinusoidal signal can be sampled and the zero-crossing point can be determined and the square wave signal with the same frequency as the sinusoidal signal