资源列表
yuyin
- 语音自动应答系统，用于应答语音信号。开发环境VC6.0已经测试通过。-Automatic voice response system for the answer voice signals. VC6.0 development environment has been tested.
sphinx_Doc_Chan070111
- 语音识别工具包CMU Sphinx3.0.6的开发文档。-CMU Sphinx3.0.6 speech recognition development kit documentation.
AudioFeatureMFCC
- 能提取音频信号处理中最常用的MFCC特征-Can extract the audio signal processing characteristics of the most commonly used MFCC
008.pdf
- A speech recognition paper.
fellbaum.pdf
- A speech recognition paper.
Soudcode
- 声音验证码，数字0-9，请使用VS2008 SP1或VS2010打开。-Voice verification code, numbers 0-9, use the VS2008 SP1 or VS2010 open.
T-REC-G.722-198811-I!!PDF-E
- G.722协议，可应用与各种高品质语音应用-G.722 protocol, can be applied with a variety of high-quality voice applications
question_bank_ranjith
- speech signal processing question
dtw
- 本系统是一个在多媒体PC 上实现的孤立词识别系统, 它提取语音的线性预测系数作为特征参数, 并采用Itaku ra 失真测度计算帧间距离, 在识别上则使用了动态时轴弯曲(DTW ) 进行时间匹配。本系统对一般的DTW 法作了改进, 即通过放宽端点限制以得到更好的语音匹配, 克服了一般DTW 法要求语音首尾严格对齐而造成的弊病, 降低了语音端点检测的精度要求。-This system is implemented on a multimedia PC isolated word recogniti
HTK-Presentation
- The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into sp
thehtkbooks
- This first part of the book attempts to provide this information. In this chapter, the basic ideas of HMMs and their use in speech recognition are introduced. The following chapter then presents a brief overview of HTK and, for users of older ver
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order