Proceedings ArticleDOI
Automatic speech recognition using artificial life
Rosemary T. Salaja,Ronan Flynn,Michael Russell +2 more
- pp 91-95
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TLDR
This paper briefly reviews a number of classification methods used in automatic speech recognition systems and proposes a new back-end classifier that is based on artificial life that can be used in a speech recognition system.Abstract:
After years of research activity, the machine recognition performance of speech still does not match human performance. As speech recognition is a pattern recognition problem, classification is an important part of any speech recognition system. This paper, briefly reviews a number of classification methods that have been used in automatic speech recognition systems and proposes a new back-end classifier that is based on artificial life. The paper describes how the proposed classifier can be used in a speech recognition system.read more
Citations
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Journal ArticleDOI
Implementation of a Verbal Compiler: The Need to Develop Audio Language to Keep Pace with Rapid Development becomes a Necessity
Laarfi Ahmed,Kepuska Veton +1 more
TL;DR: The purpose of this paper is to add facilities to the Speech Recognition (SR) software so that it can deal with spoken languages.
Proceedings ArticleDOI
Evaluation of wains as a classifier for automatic speech recognition
TL;DR: A new back-end classifier for a speech recognition system that is based on artificial life (ALife) and it is suggested that with further training the recognition accuracy of the proposed classifier can be significantly improved.
Book ChapterDOI
The Self-Generating Model: An Adaptation of the Self-organizing Map for Intelligent Agents and Data Mining
TL;DR: A new version of the Self-organizing Map that has been adapted for use in intelligent data mining ALife agents, the SGM sacrifices the topology-preserving ability of the SOM, but is equally accurate, and faster, at identifying handwritten numerals.
Dissertation
Malay articulation system for early screening diagnostic using hidden markov model and genetic algorithm
TL;DR: Computerized method for early screening of speech articulation disorder among Malaysian can ease human effort in tackling speech disorders and the proposed Genetic Algorithm technique has been proven to improve the recognition performance in terms of search and classification task.
References
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Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
S. Davis,Paul Mermelstein +1 more
TL;DR: In this article, several parametric representations of the acoustic signal were compared with regard to word recognition performance in a syllable-oriented continuous speech recognition system, and the emphasis was on the ability to retain phonetically significant acoustic information in the face of syntactic and duration variations.
Journal ArticleDOI
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Studying artificial life with cellular automata
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Journal ArticleDOI
Applications of support vector machines to speech recognition
TL;DR: It is shown that SVMs provide a significant improvement in performance on a static pattern classification task based on the Deterding vowel data and an application of SVMs to large vocabulary speech recognition is described.
Journal ArticleDOI
Artificial life: organization, adaptation and complexity from the bottom up.
TL;DR: This review highlights the state of the art in artificial life with respect to dynamical hierarchies, molecular self-organization, evolutionary robotics, the evolution of complexity and language, and other practical applications and speculates about future connections between artificial life and cognitive science.