The implementation is based on the theory in the master degree project Speech Recognition using Hidden Markov Model by Mikael Nilsson and Marcus Ejnarsson, MEE01-27. MEE-03-19 Speech Recognition using Hidden Markov Model An implementation of the theory on a DSK-ADSP-BF533 EZ-KIT LITE REV 1.5 _Ībstract 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). Nick Bardici Björn Skarin _ Degree of Master of Science in Electrical Engineering MEE-03-19 Supervisor: Mikael Nilsson School of Engineering Department of Telecommunications and Signal Processing Blekinge Institute of Technology March, 2006 Speech Recognition using Hidden Markov Model An implementation of the theory on a DSK – ADSP-BF533 EZ-KIT LITE REV 1.5
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