Towards speech technology for South African languages: automatic speech recognition in Xhosa

Autor:	F A de Wet, E. C. Botha
Rok vydání:	1999
Předmět:	Linguistics and Language Literature and Literary Theory Computer science Speech recognition Languages of Africa Speech technology Speech corpus Language and Linguistics language.human_language Task (project management) Phone language Xhosa Hidden Markov model Word (computer architecture)
Zdroj:	South African Journal of African Languages. 19:216-226
ISSN:	2305-1159 0257-2117
DOI:	10.1080/02572117.1999.10587400
Popis:	This article reports on the first application of ‘state-of-the-art’ automatic speech recognition (ASR) technology to Xhosa, an indigenous South African language. The project, aimed at developing the technology required to implement a spoken-language front-end for an automatic translation system, is part of a collaborative effort in speech technology research for South African languages. The system we propose to perform this task consists of a speaker independent, isolated word, automatic speech recogniser. During system development speech data from 40 native. Xhosa speakers was recorded, annotated and organised into a database. Two systems were evaluated, one using hidden Markov word models and another implemented with hidden Markov phone models. Recognition rates of up to 95% were achieved.
Databáze:	OpenAIRE
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