speech_recognition_based_on_HMM MATLAB programs based on Hmm, can identify 0-9 ten-digit sou - source code download

codelooker → Download → Numerical Algorithm-Artificial Intelligence → Speech-Voice recognition/combine

Search:

speech_recognition_based_on_HMM

Classification:Numerical Algorithm-Artificial Intelligence - Speech-Voice recognition/combine Development Tool:matlab Sise:38.0 KB Upload time:2012/7/11 22:17:17 Uploader:ms.soheilipour Download Statistics:

Description

MATLAB programs based on Hmm, can identify 0-9 ten-digit source code integrity, and can be used directly.

File list:
speech_recognition_based_on_HMM
..............................\speech_recognition_based_on_HMM
..............................\...............................\Examples
..............................\...............................\........\fixed_lag_demo.m
..............................\...............................\........\learn_dhmm_demo.m
..............................\...............................\........\learn_mhmm_demo.m
..............................\...............................\........\online_em_demo.m
..............................\...............................\Old
..............................\...............................\...\example1.m
..............................\...............................\...\fixed_lag_smoother.m
..............................\...............................\...\learn_hmm.m
..............................\...............................\...\online_em.m
..............................\...............................\...\online_em_hmm_demo.m
..............................\...............................\...\online_em_pomdp_demo.m
..............................\...............................\...\sample_markov_chain.m
..............................\...............................\approxeq.m
..............................\...............................\consist.m
..............................\...............................\dist2.m
..............................\...............................\em_converged.m
..............................\...............................\enumerate_loglik.m
..............................\...............................\fhmm_infer.m
..............................\...............................\fixed_lag_smoother.m
..............................\...............................\forwards.m
..............................\...............................\forwards_backwards.m
..............................\...............................\gaussian_prob.m
..............................\...............................\gmm.m
..............................\...............................\gmminit.m
..............................\...............................\init_mhmm.m
..............................\...............................\kmeans.m
..............................\...............................\learn_hmm.m
..............................\...............................\learn_mhmm.m
..............................\...............................\mk_dhmm_obs_lik.m
..............................\...............................\mk_fhmm_topology.m
..............................\...............................\mk_ghmm_obs_lik.m
..............................\...............................\mk_mhmm_obs_lik.m
..............................\...............................\mk_stochastic.m
..............................\...............................\normalise.m
..............................\...............................\online_em.m
..............................\...............................\prob_path.m
..............................\...............................\README
..............................\...............................\sample_dhmm.m
..............................\...............................\sample_discrete.m
..............................\...............................\sample_mc.m
..............................\...............................\sample_mdp.m
..............................\...............................\sample_mhmm.m
..............................\...............................\sample_pomdp.m
..............................\...............................\viterbi_path.m
..............................\...............................\说明.txt

If you are a member, Log in. If you are not a member, Please register

Related source code

[Speech Enhancement] - this code is about speech enhancement
[SpeechSample] - You can use this file is speech programming tutorial in C++.
[speech-2_0_6-final-spec] - Este es un buen material de descarga de archivos
[emospeech] - speech emotion detection
[SpeechToText] - this will help you to speech synthese
[Wiener-Filtering-for-Speech-Enhancem...] - Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speechsignals eective and useful, they need to be enhanced from the noisy speech signal.In speech processing eld many speech enhancement techniques are developed andare providing very good results.Multichannel microphone array is also one of the techniques used for speechenhancement, that provides better results than the single channel speech enhancement. Moreover, Wiener ltering is the most commonly used technique formultichannel microphone array for speech enhancement. The main focus of thisthesis is to implement multichannel microphone array using Wiener ltering inthe modulation domain system and also in the time domain system to enhancethe speech.
[Final-Speech-Project] - speech processing using matlab
[text2speech] - Tex to speech convsersion using matlab.
[speech-recognition] - this code is for speech recognition
[Assignment-Sharp-3-Speech-Processing...] - just to get my account activate in this forum

Download Address

DownLoad

Comments: Don't forget to comment after downloading! Comment...

About - Advertise - Sitemap