a noisy environment for the rapid identification voice endpoint detection algori...

主流音频编解码标准ITU： G.711、G.729等

运用SAPI将文本转化成语音的demo-use SAPI text into voice demo

语音合成与语音处理-voice synthesis and voice processing

语音application检测程序，比较基础，希望可以帮到需要的人-Voice application testing procedures, basis of comparison, the desire to help the needy

Based on short-term energy detection and short-term cross zero rates detection in speech reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech segmentation algorithm is achieved with the wavelet transform and statistics signal frequency domain characteristics.using cepstrum transform and cepstrum distance with the background noise,the paper achieved the speech segmentation algorithm.Analysis and Implementation of Speech Endpoint Detection

speech recognition base paper pdf file

HTK3.4,编译后的exe文件，可以直接使用，无需在编译-speech recognition

文本语音转换的使用源码，需要有TTS支持才行-The use of text-to-speech conversion source, do need to have TTS support

一个基于DTW的的孤立词的语音识别系统，采用率为800，可以识别六个字左右的短语，是特定人的识别系统。运行时请更改工作目录：工程->设置->调试->更改工作目录即可-The DTW-based isolated word speech recognition system, using rate of 800, can identify words around the phrase, a specific person

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 detection of speech signal matlab procedures, take advantage of short-time energy and short-time average zero-crossing rate of the average voice activity to determine the start. There are voice signal SNR calculation procedures.