bp原理的源程序，可以自由下载，不涉及版权。

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Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预 测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。 基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音） 的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲 序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in linear predictive coding LPC theory, lattice filters, as well as the current prediction equation solving algorithm, can achieve an important element of the speech signal analysis, synthesis or recognition. Based on the existing experimental platform, we can use Matlab function to obtain the number of fixed-voice elements (such as vowels) model coefficients, LPC coefficients are the composition of IIR filters. Shock pulse sequence used as input, we can get the original voice. This is a simple voice synthesis.

语音识别 语音识别 语音识别 -Speech Recognition Speech Recognition Speech Recognition Speech Recognition Speech Recognition Speech Recognition

DSP在音频处理中的应用 详细的程序及说明-DSP in audio processing in the application of detailed procedures and explanations

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

一种语音段起止端点检测新方法.rar格式为ｖｉｐ-made available a voice of a new endpoint detection methods. Rar format vip

marsyas是进行音频分析的源码，可以识别音乐节奏、乐器等音乐语义特征，使用隐马尔可夫模型。-marsyas is a source of audio analysis to identify the music rhythm, semantic features music and musical instruments, the use of Hidden Markov Model.

G.723.1语音压缩编码的英文原文和中文译文。该协议是双速率语音压缩编码，提供5.3和6.3kbps的速率，占用很窄的带宽。-G.723.1 voice coding the original English and Chinese translations. The agreement is a two-bit-rate speech coding, and 5.3. Rate, which takes up a very narrow bandwidth.

语音识别方面的资料，大部分是引文资料非常有用-Speech recognition information, most of the information is very useful for quotation

语音计算器正式版本。 无须安装即可运行， 这里提供全部源代码，可以供初学者学习） beitso－－－－版权所有-The form version of speech calculator.you can run it without installation. Here is all code to give a sample for new learner. Beitso copyright