A novel approach to HMM-based speech recognition systems using particle swarm optimization

Mathematical and Computer Modelling

Volumn 52, Issue 11-12, 2010, Pages 1910-1920

  Najkar, Negin ^a   Razzazi, Farbod ^a   Sameti, Hossein ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Hidden Markov model (HMM); HMM based speech recognition; Particle swarm optimization (PSO); Viterbi algorithm

Indexed keywords

ACOUSTIC MODEL; CLASSIFICATION TASKS; GLOBAL OPTIMUM; GLOBAL SEGMENTATION; HMM-BASED SPEECH RECOGNITION; INITIAL POPULATION; ISOLATED WORD RECOGNITION; LIKELIHOOD FUNCTIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; SEARCH METHOD; SOLUTION-SEARCH SPACE; SPEECH MODELS; SPEECH RECOGNITION SYSTEMS; SYSTEM ACCURACY; UPDATING ALGORITHM; VITERBI;

COMPUTATIONAL COMPLEXITY; DYNAMIC PROGRAMMING; HIDDEN MARKOV MODELS; PARTICLE SWARM OPTIMIZATION (PSO); VECTOR SPACES; VITERBI ALGORITHM;

SPEECH RECOGNITION;

EID: 77956341976     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2010.03.041     Document Type: Article

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