On the Development of Speech Resources for the Mixtec Language

The Mixtec language is one of the main native languages in Mexico. In general, due to urbanization, discrimination, and limited attempts to promote the culture, the native languages are disappearing. Most of the information available about the Mixtec languageis in written form as in dictionaries whi...

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Bibliographic Details
Published in:TheScientificWorld 2013-01, Vol.2013 (2013), p.1-19
Main Author: Caballero-Morales, Santiago-Omar
Format: Article
Language:English
Subjects:
Adaptive systems
Adaptive technology
Culture
Dictionaries as Topic
Handicapped assistance devices
Language
Languages
Mexico
Narration
Native languages
Natural Language Processing
Orthography
Population
Social aspects
Spanish language
Spectral analysis
Speech
Speech recognition
Speech Recognition Software
Translating
Urbanization
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Summary:The Mixtec language is one of the main native languages in Mexico. In general, due to urbanization, discrimination, and limited attempts to promote the culture, the native languages are disappearing. Most of the information available about the Mixtec languageis in written form as in dictionaries which, although including examples about how to pronounce the Mixtec words, are not as reliableas listening to the correct pronunciation from a native speaker. Formal acoustic resources, as speech corpora, are almost non-existentfor the Mixtec, and no speech technologies are known to have been developed for it. This paper presents the development of thefollowing resources for the Mixtec language: (1) a speech database of traditional narratives of the Mixtec culture spoken by a nativespeaker (labelled at the phonetic and orthographic levels by means of spectral analysis) and (2) a native speaker-adaptive automatic speechrecognition (ASR) system (trained with the speech database) integrated with a Mixtec-to-Spanish/Spanish-to-Mixtec text translator. The speech database, although small and limited to a single variant, was reliable enough to build the multiuser speech applicationwhich presented a mean recognition/translation performance up to 94.36% in experiments with non-native speakers (the target users).
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2013/170649