Speech Recognition: Theory, Applications, and Challenges

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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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Neural Network Speech Recognition System


Download now Matlab source code
Requirements: Matlab, Matlab Signal Processing Toolbox.

Neural networks emerged as an attractive acoustic modeling approach in ASR in the late 1980s. Since then, neural networks have been used in many aspects of speech recognition such as phoneme classification, isolated word recognition, and speaker adaptation. In contrast to HMMs, neural networks make no assumptions about feature statistical properties and have several qualities making them attractive recognition models for speech recognition. When used to estimate the probabilities of a speech feature segment, neural networks allow discriminative training in a natural and efficient manner. Few assumptions on the statistics of input features are made with neural networks.

Index Terms: Matlab, source, code, speech, recognition, isolated, word, words, feature, neural, network, networks, ANN.

Release 1.0 Date 2014.01.05
Major features:


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