Verification of Correct Pronunciation of Mexican Spanish Using Speech Technology. Kirschning, I. and Aguas, N. In MICAI 2000. Proceedings of the Mexican International Conference on Artificial Intelligence, pages 493-502. Springer, Berlin - Heidelberg.
Verification of Correct Pronunciation of Mexican Spanish Using Speech Technology [link]Paper  abstract   bibtex   
This paper presents a new method for the verification of the correct pronunciation of spoken words. This process is based on speech recognition technology. It can be particularly useful when applied to the field of SLA (Second Language Acquisition) in learning environments or Computer-Aided Language Learning (CALL) systems, where the students can practice their pronunciation skills. This method uses an artificial neural network plus a specific grammar for each utterance to compare the text of the expected utterance with the sequence of phonemes recognized in the speech input, in order to detect the pronunciation errors.
@incollection{kirschning_verification_2000,
	Address = {Berlin - Heidelberg},
	Author = {Kirschning, Ingrid and Aguas, Nancy},
	Booktitle = {MICAI 2000. Proceedings of the Mexican International Conference on Artificial Intelligence},
	Date = {2000},
	Date-Modified = {2016-09-24 18:56:07 +0000},
	File = {Attachment:files/5989/Kirschning, Aguas - 2000 - Verification of Correct Pronunciation of Mexican Spanish Using Speech Technology.pdf:application/pdf},
	Keywords = {CAPT, ELE, L2, L2 teaching, pronunciation teaching},
	Pages = {493-502},
	Publisher = {Springer},
	Title = {Verification of Correct Pronunciation of Mexican Spanish Using Speech Technology},
	Url = {http://link.springer.com/10.1007/10720076_45},
	Abstract = {This paper presents a new method for the verification of the correct pronunciation of spoken words. This process is based on speech recognition technology. It can be particularly useful when applied to the field of SLA (Second Language Acquisition) in learning environments or Computer-Aided Language Learning (CALL) systems, where the students can practice their pronunciation skills. This method uses an artificial neural network plus a specific grammar for each utterance to compare the text of the expected utterance with the sequence of phonemes recognized in the speech input, in order to detect the pronunciation errors.},
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