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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.
duandianjiance
- 用于语音信号的端点检测，如有研究有关语音信号识别的大虾们可以过来-Endpoint detection for speech signals, if any, to study the speech signal recognition can come back to the prawns
Dial_Event_Polling
- Dial程序向您示范如何基于语音卡实现下列功能： 坐席通道经中继通道呼出 信号音分析及检查 机器应答检测（AMD）-Dial program shows you how to voice card based on the following functions: agent channel by relay channel audio signal analysis and inspection of outgoing answering machine detection (AM
mfccdtw
- 先用端点检测将语音中有用的语音部分提取出来（即将头部和尾部的静音部分除掉），然后用LPC算法提取语音信号的特征参数，进行动态归整(DTW算法)后与模板库里面的标准语音作比较，最后将识别结果进行D/A转化后播放出来。在本部分的设计中，则主要完成语音识别的模式匹配算法部分的软件实现。 -First with the endpoint detection of speech to voice some of the useful extracted from the (soon to mute som
speechrecognition
- 该系统可以实现孤立数字发音的识别，首先对语音信号进行端点检测，提取了语音信号的MFCC特征，进行识别时，运用了动态规整算法。-The system can identify isolated digital sound, the first endpoint detection of speech signals, MFCC extracted voice signal characteristics, identification, the use of dynamic warping alg
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
a0c72ea11c3d
- 对语音输入信号的预处理和算法变换，并实现对语音的检测功能-Pretreatment on the speech input signal and algorithm transformation and to achieve the detection of speech
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- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250～ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
enframe0613pm
- 语音信号端点检测的程序，比较全面，能量过零率基音估计等等 全在-Endpoint detection of speech signal process, more comprehensive, zero crossing rate of energy and so on all in the pitch estimation
myproject
- 信号的端点检测,语音端点检测就是指从包含语音的一段信号中确定出语音的起始点和结束点。 正确的端点检测对于语音识别和语音编码系统都有重要的意义。-Signal endpoint detection, voice activity detection means from the voice of a signal containing a voice to determine the starting point and end point. The right endpoint detectio
1
- 使用能量特征、过零率特征设计一个语音检测算法。要求能在普通的实验室噪声环境下，准确地检测出语音信号的起终点位置-Use of energy characteristics, design features a zero-rate voice detection algorithm. Required in an ordinary lab noise environment, accurately detect the location of the voice signal from the e
fexingzaiyuyinzhongdeyingyong
- 几篇分形理论在语音信号处理中应用的文献，主要应用于去噪和断点检测-Several fractal theory applications in speech signal processing literature, mainly used in denoising and break detection
jiyinguiji
- 在语音信号处理中，基音周期的检测是非常重要的环节，本程序完成语音的基音周期轨迹。-In speech signal processing, the detection of the pitch period is a very important part of the process is complete voice pitch cycle track.
enframe
- 实现了语音信号的端点检测功能，基于matlab环境，是hmm语音识别的初步工作-Voice signal endpoint detection based on matlab environment, hmm speech recognition preliminary work
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- matlab dtmf 双音多频信号产生与检测 正确 -matlab dtmf dual tone multi-frequency signal generation and detection correctly
stezcr
- 使用matlab实现的基于短时能量和过零率的语音信号端点检测-The endpoint detection of speech signal based on short-time energy and zero crossing ratio using matlab
vad
- 改程序的功能：在进行语音识别时，完成对采集到的语音信号进行端点检测-The app features: when making the speech recognition, complete the acquisition to the endpoint detection of speech signal
double_threshold
- 传统的语音信号双门限端点检测算法，适用于高信噪比，低信噪比不适用。(The traditional double threshold detection algorithm for speech signal is suitable for high signal to noise ratio and low signal to noise ratio.)