采用LMS算法的频域均衡技术研究,lms在频域均衡方面的应用。

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

HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):-HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. lt;phil@hawksoft.comgt; HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):

audio/celp

语音识别基本原理 自己收集的电子书 关于语音识别的 -voice recognition basic tenets of his collection of electronic books on Speech Recognition

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.

用三层小波神经网络实现的与文本无关说话人识别。（识别部分）。输入的是语音特征，输出的是识别结果。训练用的语音特征要事先提取出。-with three wavelet neural network has nothing to do with the text of Speaker Recognition. (Recognition). The admission of voice features, the output is the result of recognition. Training voice features prior to extract.

Voice_Band_Audio_Processor_Interface_source_code

一个Nuance asr基于audio providor模式的语音识别的例子-asr a Nuance-based audio providor of Speech Recognition model example

在linux平台下,纯c写的盲信号分离的代码.它采用基于卷积混合的盲信号分离算法,不但可以分离人工合成的混合信号,而且对于真实环境中的卷积混合的语音信号也能够分离.在本程序中,包含了两个测试文件,makefile后便可以直接使用. 另外值得一提的是,压缩包里包含有一些语音处理方面的常用函数.例如fft变换,读取写入wav文件,以及一些常用的一维向量和二维矩阵变换的函数.这些可以直接应用在其他应用程序里去.-in linux platform, net write c Blind Signal Separation code. it is based on convolution of mixed Blind Signal Separation algorithm, not only can be separated from the artificial synthesis of mixed-signal, but for the real environment convolution of mixed voice signals can be separated. in this procedure, the tests included two documents, makefile can be used directly after. Also worth mentioning is that Compression bag containing some of voice processing functions commonly used. fft transform, for example, to read write wav file, and some of the commonly used one-dimensional and two-dimensional vector matrix transformation functions. these can be directly applied to other applications going.

经验模式分解程序（简称EMD），在某些情况下比WAVELET TRANSFORM 和STFT分析效果要好，就是计算很费时间！-Empirical Mode Decomposition (EMD), In some cases than WAVELET TRANSFORM STFT analysis and better results. Computing is a great time!