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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
hmms
- 本文详细噪声补偿的隐马尔可夫模型，并指出了它在信号处理中的应用，对未来提出了展望。-In this paper, the noise compensation for hidden Markov model, and pointed out that its signal processing applications, the outlook for the future.
asr2000
- Hidden Markov Models (HMMs) are a popular approach for speech recognition. Commonly, a left-to-right Markov chain topology is used, where each phoneme is represented by a sequence of states (typically three) [
HMMS
- HMM ebooks. consists the explanation of hidden morkov models.
EmotionRecognition
- Speech emotion recognition using hmms
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
The-Speech-Recognition-using-HMMs
- 自己总结的一个基于 HHMs 语音识别的示例程序，附说明文档，Matlab程序的注释详细。希望能给予初学者帮助。-The following is an example of speech recognition program based on HMMs，and there are detailed notes in the program. May bring help to the beginner。
optimisationemotion
- Speech emotion recognition using hmms
BWDOHMM
- 標準Baum-Welch演算法之離散觀察HMM模型(基礎版本)-Implements the standard Baum-Welch (any-path) algorithm for discrete-observation HMMs.
dispatch
- Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The
Gammashirp-filter
- In this paper, we figure out the use of appended jitter and shimmer speech features for closed set text independent speaker identification system. Jitter and shimmer features are extracted from the fundamental frequency contour and added to basel
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