speech recognition and synthesis 3 entry, word or compressed packages within Mat...

语音信号处理工具包，是日本的一个大学开发的，对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.

介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.

端点检测程序 多频带，熵 谱熵 teger能量 希望大家好好学习好好利用-endpoint detection procedures multiband, entropy spectral entropy teger energy hope that we learn to make good use

HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.

This is a development package for IBM Text To Speech (TTS). -This is a development package for IBM Text T o Speech (TTS).

生成《matlab扩展编程》中对于HMM训练的samples.mat程序，自己编写-Generation ‘matlab programming expansion’ in the HMM training samples.mat procedures, written by myself

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

2400 bps MELP语音编解码器 定点运算算法-2400 bps MELP speech codec algorithm sentinel Operational

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.

fastICA的matlab实现。快速独立成分分离算法，用于去除图像或声音之间的 相关性。-The FastICA matlab realize. Fast independent component separation algorithm for the removal of images or sound correlation between.