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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) [
inference_in_hmm
- The book: Inference in Hidden Markov Models. This is the basic book about HMM. The book starts with an introductory chapter which explains, in simple terms, what an HMM is, and it contains many examples of the use of HMMs in fields ranging from bio
HMMS
- HMM ebooks. consists the explanation of hidden morkov models.
ISO-8859-1__audio_C
- The General Hidden Markov Model library (GHMM) is a freely available LGPL-ed C library implementing efficient data structures and algorithms for basic and extended HMMs. The development is hosted at Sourceforge http://sourceforge.net/projects/ghmm/,
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
HMMtoolbox
- 此工具箱支持推理和学习HMM模型,拥有的算法有离散输出（DHMM），高斯输出（GHMM），或其混合物的高斯输出（mhmm）。-Hidden Markov Model (HMM) Toolbox for Matlab，This toolbox supports inference and learning for HMMs with discrete outputs (dhmm s), Gaussian outputs (ghmm s), or mixtures of Gaussians outp
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.
CPP-For-HMMs-Three-Question
- 关于隐马尔可夫模型HMM三个问题的实现，用c++实现，是初学者学习的好资料-Hidden Markov Model HMM three realization c++ of realization is good for beginners to learn
HTK-samples-3
- his package contains a set of functions for calling interfacing with HTK from Matlab. Right now its mostly limited to training GMMs and HMMs. It converts your Matlab data into a format that HTK understands and calls HTK command line programs. T
matlab_hmm-master.
- This package contains a set of functions for evaluating HMMs and GMMs.
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
VitDoHMMst
- Implements the standard algorithm for discrete-observation HMMs. Returns the score and respective best-state sequence.
Hmms.class
- Redis入队列操作，Redis可以利用List结构实现功能队列(PHP SDK)-redis php
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,