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chugao1
- 0基于语音信号特征：短时能量，短时过零率子带谱熵的语音信号的端点检测-0 endpoint detection based on speech signal characteristics: short-term energy, short-term zero-rate sub-band spectral entropy of speech signals
1
- 计算短时能量和短时过零率来进行端点检 测的程序如下:-Application of MATLAB in the Assistant Teaching of Speech Signal Pr coessing
Language-endpoint-detection-
- 短时能量 过零率 语音端点检测 连续语音-Short-term energy Zero crossing rate Voice activity detection
shiyu
- 首先通过手机录制一段名为“yuyin.wav”的语音，然后通过MATLAB编写程序对这段语音进行分析，分别求出这段语音短时能量、短时过零率、短时幅度以及清音和浊音的自相关函数-First phone to record a section called " yuyin.wav" the voice, and then through the MATLAB programming analysis of this voice, this voice were calculated
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
mian
- 语音信号的时域分析，有短时能量，短时平均幅度，短时过零率，清音自相关序列，浊音自相关序列，傅里叶分析。-Speech signal time-domain analysis, short-time energy, short-term average, short-term zero-crossing rate, voiceless autocorrelation sequence, voiced autocorrelation sequence, Fourier analysis.
jiyuduanshinengliangduandianjiace
- 基于短时能量的基音短点检测，有基于短时能量的计算方法、短时过零率，有matlab程序，同事对应word讲解，算法原理图，和算法详细介绍。-Short pitch detection based on short-term energy, based on the calculation method of the short-time energy, short-time zero-crossing rate, matlab program, colleagues corresponding w
time-and-frequency-characteristics
- 语音信号的时域和频域特性，包括录制、计算短时能量、短时过零率、短时傅里叶变换、加矩形窗等步骤-Speech signal in time domain and frequency domain characteristics, including recording, computing time energy, short-time zero-crossing rate, short-time Fourier transform, rectangular windows and other s
signalPshort-energyPzero-rate
- 采集语音信号，双线性变换法设计低通滤波器对信号滤波，分别运用短时能量和短时过零率方法对语音信号进行处理。-Voice signal acquisition bilinear transform design low-pass filter signal filtering, namely, the use of short-term energy and zero-crossing rate method of voice signal processing.
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
endpoint-detection-methods-of-voice
- 判断出语音的端点，基本算法是短时能量和短时过零率双门限算法。-Determine the voice endpoint, the basic algorithm is a short-term energy and zero-crossing rate double threshold algorithm.
Voice-signal-pre-processing
- 语音识别前期处理代码，包括语音信号预处理，预加重，加窗分帧，短时能量及短时平均幅度分析，短时平均过零率，短时自相关分析，短时平均幅度差函数。-Speech recognition pre-processing code, including voice signal pre-processing, pre-emphasis, windowing sub-frame, and the short-term average short-term energy analysis, the averag
ss
- 进行语音信号的切分处理，处理切分方法是根据短时能量和短时过零率进行的- ON划词翻译ON实时翻译 Segmentation of speech signal processing, segmentation method is based on short-time energy and short-time zero crossing rate of
MFCC
- MATLAB上对语音信号基于短时能量和短时过零率的端点检测-MATLAB on the speech signal endpoint detection based on short-term energy and zero-crossing rate
vad
- 基于短时能量和短时平均过零率的端点检 -Based on the average short-term energy and zero-rate short-term endpoint detection
speech-recognition
- 基于MATLAB的语音端点检测短时能量matlab实现短时过零率matlab实现-Speech endpoint detection based on MATLAB short-time energy MATLAB short-time zero crossing ratio of MATLAB
timedomaincharactersticsanalysis
- 设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 -Design a simple GUI interface that time
1540
- 1.短时能量2．短时平均过零率3、短时自相关函数4.基音周期-1. The short-term energy 2. 3 short-time average zero-crossing rate, short-term autocorrelation function 4. Pitch
codeone
- 端点检测 双门限法 matlab 短时能量 过零率-Endpoint detection dual-threshold MATLAB short-term energy to zero-crossing rate