搜索资源列表
HTS-2.0RC1_for_HTK-3.3.patch
- HTS3.3 语音合成，使用HMM模型，结合HTK SPTK等技术 此软件新版本-HTS3.3 speech synthesis, the use of HMM, combining technical HTK SPTK new version of this software
drums-0.3
- 老 外 写 的 虚 拟 鼓 原 代 码-foreigner wrote the original code virtual drum
HTK-samples-3.4
- 隐马项目\\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识 -Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
sphinxbase-0.3
- 一个通用框架下的语音识别内核库，由国外著名大学开发，支持多种操作系统平台
语音识别与合成入门3（内有matlab源码）
- 语音识别与合成入门3，word或压缩包中内有matlab源码-speech recognition and synthesis 3 entry, word or compressed packages within Matlab FOSS
MpZBeeV1.0-3.8a
- Microchip 公司的zigbee协议栈安装包
大名鼎鼎的开源语言识别工具CMU Sphinx
- 大名鼎鼎的开源语言识别工具CMU Sphinx，版本3.0.8-The famous open-source speech recognition tool for CMU Sphinx, version 3.0.8
0-9(Speech-Recogenition)用matlab仿真0到9十个数字的语音识别
- 用matlab仿真0到9十个数字的语音识别 1、对语音的WAV文件和LAB文件进行处理，产生十个文件，每个文件对应于一个数字，存贮着该数字的波形文件。（shujuzhengli.m） 2、分别利用上面十个文件训练出十个HMM模板，具体方法是：首先将语音的波形文件分帧，以128个点为一帧，帧移为64，每一帧通过mfcc.m计算出13个系数，随着波形的长度不同，一个语音文件可以计算得到13*N个系数，截取13*15的矩阵（mfcc系数）用作训练数据。一般一个HMM模板用20组mfcc系数
HTK-samples-3.4-alpha.tar.gz
- 语音识别工具HTK最新版，由英国剑桥大学开发,HTK Speech Recognition tools latest version, developed by the University of Cambridge
lame-3.92-ACM
- lame是公认的转换Mp3的目前最好的工具，本文件包里有lame的说明文件-lame is recognized as the best conversion tool for Mp3 present, this document is the documentation package are lame
GML_AdaBoost_Matlab_Toolbox_0.3
- adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
SPTK-3.0.tar
- 语音信号处理工具包,里面提供了很多有用的操作。这是最新版本。-A tool box of speech processing. It offers many useful operation. This is the newest version.
HTK-3.4.tar
- htk因马尔科夫工具包 3.4用于连续语音识别 剑桥开发 开源-htk by Markov Toolkit 3.4 for Continuous Speech Recognition in Cambridge, the development of open source
hmmer-2.3.2.tar
- Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descr iptions of a sequence family s consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence a
HTK_Bin_3.4.1
- HTK 3.4.1 windows下可执行文件-HTK 3.4.1 executive bin files for windows
HTK-3.3
- 本程序中涵盖了许多语音识别的开发应用程序，有利于初学者的学习使用-This process covers the development of many speech recognition applications, will help beginners learn to use
HTK-3.4.1
- this is HTK Toolkit used for speech recognition
HTS-2.1_for_HTK-3.4
- HTS version 2.1 includes hidden semi-Markov model (HSMM) training/adaptation/synthesis, speech parameter generation algorithm considering global variance (GV), SMAPLR/CSMAPLR adaptation, and other minor new features.
HTK-3.4.1
- HTKbook 3.4 包括所有的HTK 语言的用法以及samples(HTK is a toolkit for building Hidden Markov Models (HMMs). HMMs can be used to model any time series and the core of HTK is similarly general-purpose. However, HTK is primarily designed for building HMM-based s
sphinxbase-0.3
- Descr iption: win32 speech voice recognition software v3.0