delphi写的英文阅读器

g.729 编码程序 开发工具VC -G.729 coding process development tools VC

MFCC 参数和 LPCC 参数是说话人识别中两种最常用的特征参数，研究了 MFCC 和 LPCC 参数提取的算法原理及差分倒谱参数的提取方法，采用MFCC、LPCC 及其一阶、二阶差分作为特征参数，通过 k 均值算法与三层BP 神经网络来进行说话人识别。实验结果表明，该方法可以有效提高识别率，同时也验证 MFCC 参数的鲁棒性优于 LPCC 参数

This function computes autocorrelation with a biased scaling.

一种基于mfcc语音特征提取方法，识别率还可以-MFCC-based speech feature extraction method, recognition rate can also be

关于非特定人的语音识别代码，用c语言编写，可以移植到各种嵌入式平台，采用HMM模型，包含前向，后向，维特比算法等详细代码，运行通过，可以用， 适合初学者，有助于语音识别的开发。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

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.

这是一个在计算机上用C语言写的ADPCM编解码程序。-This is a computer using C language to write procedures for the ADPCM codec.

共振峰合成非常好用-A very convenient project on formant synthesis.

tone encode and decode

本文系统的介绍了语音识别的技术及其实现方法-This article introduces the technic and implement method of speech recognise