Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms

Recent advances in the availability of computational resources allow for more sophisticated approaches to speech recognition than ever before. This study considers Artificial Neural Network and Hidden Markov Model methods of classification for Human Speech Recognition through Diphthong Vowel sounds...

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Veröffentlicht in:	Expert systems with applications Jg. 153; S. 113402
Hauptverfasser:	Bird, Jordan J., Wanner, Elizabeth, Ekárt, Anikó, Faria, Diego R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.09.2020 Elsevier BV
Schlagworte:	Accuracy Acknowledgment Acoustics Algorithms Applied hyperheuristics Artificial neural networks Classification Diphthongs Evolutionary algorithms Markov analysis Markov chains Mathematical models Multi-objective evolutionary computation Multiple objective analysis Neural networks Objectives Phoneme classification Phonemes Phonetics Resources Robotics Robots Speech Speech recognition Statistics Topology optimization Voice recognition Vowels Words Multi-objective evolutionary computation Phoneme classification Applied hyperheuristics Speech recognition
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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