Using neural networks for a discriminant speech recognition system

Using neural networks for a discriminant speech recognition system

The paper presents a case study of using neural networks for a discriminant automatic speech recognition system for the Romanian language. The uttered words by several speakers which the system must recognize can be commands for a robot. The study aims to examine the performance of the system by min...

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Bibliographic Details
Published in:2014 International Conference on Development and Application Systems (DAS) pp. 165 - 169
Main Authors: ŞChiopu, Daniela, Oprea, Mihaela
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2014
Subjects:
Feature extraction
Hidden Markov models
multilayer perceptrons
Neural networks
recurrent neural networks
Speech
Speech processing
Speech recognition
Training
Online Access:Get full text
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Summary:The paper presents a case study of using neural networks for a discriminant automatic speech recognition system for the Romanian language. The uttered words by several speakers which the system must recognize can be commands for a robot. The study aims to examine the performance of the system by minimizing the error.
DOI:10.1109/DAAS.2014.6842448