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Hidden_Markov_model_for_automatic_speech_recogniti
- Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner
rab_begin
- Code to find the speech beginning using rabiner method
rab_finish
- Code to find speech ending using rabiner method
endpoint_detection
- End point detection" I implemented an algorithm for detecting start and end point of the word sequence in speech. In this way the Rabiner method, used to perform this work
sourcecodes
- i send the matlab codes for embedded zero tree and se partioning in hierarchial trees in image compression.I also send matlab code for speech compression using rabiner algorithm amd OFDM transceiver design.
sourcecode
- I send the matlab code for image compression using embedded zero tree and set partitioning in hierarchial tree.Also i send matlab code for speech compression using rabiner algorithm and OFDM transceiver design.