VC编写的音频频谱柱状图可视化显示界面

本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。-This procedure includes voice compression and voice recognition requirements in the area of the LPCC, MFCC feature extraction algorithm, as well as voice activity detection source.

语音识别程序 可读出文本框中的文字,单词-a voise idetifying program,it can read string and word in word frame

C语言开发工具包 （包括制表键宽度的变化，图形图像的处理，字符串的处理等等）-C-language development tools (including tabulation bond width changes, graphic image processing, string handling, etc.)

能有效的去除纯净语音中加入的噪声，效果不错。-Can effectively remove the pure voice added to the noise, good results.

语音信号处理，matlab源码 edp.m enframe.m lpc.m mel.m mfcc.m-Speech signal processing, matlab source edp.m enframe.m lpc.m mel.m mfcc.m

应用背景通过语音识别，并通过MP3播放，支持SD卡存储。关键技术LD3320 非特定语音识别  STM32 嵌入式

基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.

这是G.727标准文件-This is the G.727 standard documents

Voice_Band_Audio_Processor_Interface_source_code