ITU G.729库和实例

为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件 设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参 数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction algorithm is proposed based on the algorithm the hardware Design, describes the design principles of each module. The program increased the Voice Activity Detection feature, which allows voice signals to detect the noise frame to improve the characteristic parameters The number of reliability.

可以讲mulaw语音数据转换成线性pcm数据-can speak mulaw voice data converted into linear data pcm

键盘4*4距阵，要用的赶紧来下啊！这可是好东东啊-4* 4 matrix keyboard, we should hurry to the next ah! This is a good东东啊

tone encode and decode

自己根据网上的说明自己编写的测试TTS的程序-Own description of the basis of online tests to prepare their own procedures for TTS

语音处理工具箱，复制到matlab工具箱中。

功能介绍： 识别开关灯命令，执行开关灯操作，并语音播报当前状态。 识别温湿度读取命令，并语音播报当前温湿度情况。 实时监测危险气体，一旦检测到立即报警并语音播报危险情况。 未有识别时不做操作，识别命令有误时播报“请问您在说什么？”。 你也可以考考小米渣：“需要开灯吗？”，系统就会对环境光线进行检测，光线暗的情况下，小米渣会提醒你：“光线不足，正在开灯”然后开灯，如果光线明亮时，小米渣会说：“光线明亮，不需要开灯”保持灯在关的状态（判断光线强弱的阈值在程序中进行设置，用户可以自行修改）。

语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.

pitch detection algorithms.

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization -Speech Quantization_Compare remnants of spee ch cs5 with mu-law companding and uniform quant ization