Röstigenkänning genom Hidden Markov Model : En implementering av teorin på DSP

Röstigenkänning genom Hidden Markov Model : En implementering av teorin på DSP

This master degree project is how to implement a speech recognition system on a DSK – ADSP-BF533 EZ-KIT LITE REV 1.5 based on the theory of the Hidden Markov Model (HMM). The implementation is based on the theory in the master degree project Speech Recognition using Hidden Markov Model by Mikael Nil...

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Bibliographic Details
Main Authors: Bardici, Nick, Skarin, Björn
Format: Others
Language:English
Published: Blekinge Tekniska Högskola, Avdelningen för signalbehandling 2006
Subjects:
Speech Recognition
Hidden Markov
Signalbehandling
DSP
DSK
BF533
Nick Bardici
Björn Skarin
Signal Processing
Telecommunications
Telekommunikation
Software Engineering
Programvaruteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1414

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1414

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