Measuring the performance of isolated spoken Malay speech recognition using Multi-layer Neural Networks

Measuring the performance of isolated spoken Malay speech recognition using Multi-layer Neural Networks

This paper describes speech signal modeling techniques which are suited to high performance and robust isolated word recognition. In this study, a speech recognition system is presented, specifically an isolated spoken Malay word recognizer which uses spontaneous and formally speeches collected from...

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Bibliographic Details
Main Authors: Bakar, N.A (Author), Bakar, Z.A (Author), Seman, N. (Author)
Format: Article
Language:English
Subjects:
Algorithms
Backpropagation
Back-propagation
Classification rates
Conjugate gradient algorithms
Conjugate gradient method
Data size
Hidden Neuron
Hidden neurons
Isolated word recognition
Levenberg-Marquardt algorithm
Malaysia
Mel-frequency cepstral coefficients
Melfrequency Cepstral Coefficients
Multi layer perceptron
Multi-layer Perceptron
Natural language processing systems
Network complexity
Network layers
Network structures
Neural networks
Recognition process
Speech extraction
Speech recognition
Speech recognition systems
Speech segmentation
Speech signal modeling
Spoken words
Stochastic errors
Training data
Two-layer network
Zero crossing rate
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