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An Automatic Approach for WordNet Enrichment Applied to Arabic WordNet Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Towards a Speech Recognizer for Multiple Languages Using Arabic Acoustic Model Application to Amazigh Language

Authors : Ali Sadiqui, Ahmed Zinedine

Published in: Arabic Language Processing: From Theory to Practice

Publisher: Springer International Publishing

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Abstract

The construction of acoustic models of a language, used in automatic speech recognition (ASR) systems, is a developed technology achievable without great difficulty when a large amount of speech and written corpus is available. However, these technological resources are not available in a large part of languages called “Less Resourced Languages”. An alternative solution is to take advantage of the phonetic structures shared between the different languages to build an acoustic model for the target language.
In this paper, we will return to an experiment in this direction. Indeed, we used an acoustic model of the Arabic language to create one for the Amazigh language. The originality of our work comes from the will to address this language which has become an official language in Morocco, and which has not enough resources for the automatic speech recognition. In addition, both languages share several phonemes and certain characteristics. The realized system has reached a recognition rate of about 73% by word. The potential and the effectiveness of the proposed approach is demonstrated by experiments and comparison with other approaches.

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previous chapter Towards a High-Quality Lemma-Based Text to Speech System for the Arabic Language
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Metadata
Title
Towards a Speech Recognizer for Multiple Languages Using Arabic Acoustic Model Application to Amazigh Language
Authors
Ali Sadiqui
Ahmed Zinedine
Copyright Year
2018
Book
Arabic Language Processing: From Theory to Practice

Print ISBN: 978-3-319-73499-6

Electronic ISBN: 978-3-319-73500-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-73500-9_5

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