Speech Recognition: Theory, Applications, and Challenges


Speech Recognition

Speech Recognition System

Speech Recognition Based on DTW

Hybrid Speech Recognition

Neural Network Speech Recognition

HMM Speech Recognition

Voice Control System

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Speech Recognition Using Hidden Markov Models

Download now Matlab source code
Requirements: Matlab, Matlab Wavelet Toolbox.

The Hidden Markov Model (HMM) is one of statistical time series models widely used in various fields. Especially, speech recognition systems to recognize time series sequences of speech parameters as digit, character, word, or sentence can achieve success by using several refined algorithms of the HMM. Furthermore, text-to-speech synthesis systems to generate speech from input text information has also made substantial progress by using the excellent framework of the HMM.

We have developed a fast and reliable algorithm for speech recognition based on Hidden Markov Models. The proposed approach uses frequency-related features robust to most types of noise.

Index Terms: Matlab, source, code, speech, recognition, HMM, hidden, markov, models, model.

Release 1.0 Date 2014.06.07
Major features:

Speech Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it