论文信息 - Phonetic analysis of Afrikaans, English, Xhosa and Zulu using South African speech databases

Phonetic analysis of Afrikaans, English, Xhosa and Zulu using South African speech databases

We present a corpus-based analysis of the Afrikaans, English, Xhosa and Zulu languages, comparing these in terms of phonetic content, diversity and mutual overlap. Our aim is to shed light on the fundamental phonetic interrelationships between these languages, with a view to furthering progress in multilingual automatic speech recognition in general, and in the South African region in particular.

Thomas Niesler | J. C. Roux | Philippa H. Louw | T. Niesler | J. Roux

[1] Hermann Ney,et al. On structuring probabilistic dependences in stochastic language modelling , 1994, Comput. Speech Lang..

[2] Caroline L. Smith. Handbook of the International Phonetic Association: a guide to the use of the International Phonetic Alphabet (1999). Cambridge: Cambridge University Press. Pp. ix+204. , 2000, Phonology.

[3] P. Ladefoged. A course in phonetics , 1975 .

[4] Lalit R. Bahl,et al. A Maximum Likelihood Approach to Continuous Speech Recognition , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5] Slava M. Katz,et al. Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..

[6] Elizabeth C. Botha,et al. African speech technology (AST) telephone speech databases: corpus design and contents , 2001, INTERSPEECH.

[7] Joachim Köhler. Multilingual phone models for vocabulary-independent speech recognition tasks , 2001, Speech Commun..

[8] Michael Jessen,et al. Voice quality differences associated with stops and clicks in Xhosa , 2002, J. Phonetics.

[9] Thomas Niesler,et al. The African Speech Technology Project: An Assessment , 2004, LREC.

[10] Jochen Zeller. Relative clause formation in the Bantu languages of South Africa , 2004 .

[11] Tanja Schultz,et al. Language-independent and language-adaptive acoustic modeling for speech recognition , 2001, Speech Commun..