REVIEW OF SPEECH AND SPEECH RECOGNITION SYSTEM USING FEATURE EXTRACTION ALGORITHM AND OPTIMIZATION ALGORITHMS

Volume: 2    Issue: 3

Year of Publication: 2015

Pages: (60-70)

Authors: Gurpreet Kaur, Dr. Ravinder Khanna, Dr. Amod Kumar

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Abstract

This paper analyses the audio inconsistency of speakers and its impact on the strength of existing automatic speech recognition and speaker recognition systems. The acoustic and visual features are evaluated by a Support Vector Machine for digit and speaker detection and later by Hidden Markov Model verification. A methodology for speech recognition with speaker recognition based on Hidden Markov Model for security is a requirement of science. Mapping of speech using Artificial Neural networks is obtainable. Fireflies create glowing flash as a sign scheme to correspond with additional fireflies particularly to prey attractions. Cuckoo search algorithm is used as its search space is extensive in nature. Genetic algorithm can shun calculating system slope in traditional gap investigation and determines the optimum interval range of the parameters under acceptable corresponding aim error boundary. In order to obtain to obtain the most efficient and linearly discriminative components, LDA is used.

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Keywords

Speech Recognition System, LDA, Neural Network, Genetic Algorithm, SVM, Optimization Algorithms, Cuckoo Search.