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enddect
- 语音端点检测实验程序，利用短时能量和过零率检测，具有较高的识别率-Speech Endpoint Detection experimental procedures, the use of short-term energy and zero-crossing rate of detection, has a higher recognition rate
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
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
music_speech_discriminator
- Costas Panagiotakis编写利用过零率和能量等参数来区分Music信号和Speech信号-Costas Panagiotakis prepared to use the zero-crossing rate and energy parameters such as signal to distinguish Music and Speech Signal
functions
- 语音信号处理的一些函数，包括短时谱、自相关、短时能量、过零率等-Some functions of speech signal processing, including short-term spectrum, autocorrelation, short-term energy, zero-crossing rate, etc.
Endpoint-detection
- 基于短时能量与过零率、倒谱特征和谱熵的三种语音端点检测-Endpoint detection
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.
yuyin
- 语音的预处理，加汉明窗，短时平均能量和过零率-Pretreatment of speech, Hamming window, the average short-term energy and zero rate
silence-detection
- 结合短时平均幅度值和短时过零率实现静音检测，检测效果非常好。- Detection the silence combined with short-term average value and achieve zero rate, detection result is very good.
speech-analysis
- 对语音进行分析，包括时域分析（包括能量、过零率、互相关函数）和频域分析（包括fft变换、倒谱、LPC）-Speech analysis, including time domain analysis (including energy, zero-crossing rate, the cross-correlation function) and frequency domain analysis (including fft transform, cepstrum, LPC)
dmt
- 基于短时能量和过零率的双门限语音端点检测.选择信号分别为一段女声和一段男声：“今天周一，天气晴朗。”运行结果分别显示两者的短时能量和过零率图，可以用来对比其两者的不同。-Choose based on double threshold voice endpoint detection rate of short-term energy and zero-crossing signals were some female and some male voice: " Today, Mond
spectral-subtraction-algorithm
- 本文首先研究了语音激活检测算法。对基于短时能量和短时过零率双门限法语音激活检测的噪声估计算法做了研究及仿真，同时还研究了一种基于最小子带能量的噪声估计方法。-Firstly, studied voice activity detection algorithms. Based on activity detection and short-term energy zero rate threshold method voice noise estimation algorithm to do t
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
yuyinxinhaochuli
- 本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析-In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write pr
seismic-signal-procesing
- 震动信号的预警和过零率计算，需要有自己的原始震动信号-seismic signal processing zero_-pass rate