Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique

Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique

Statistical speech and language processing techniques, requiring large amounts of training data, are currently state-of-the-art in automatic speech recognition. For high-resourced, international languages this data is widely available, while for under-resourced languages the lack of data poses se...

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Bibliographic Details
Main Authors: CUCU, H., BUZO, A., BESACIER, L., BURILEANU, C.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2015-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
speech recognition
under-resourced languages
unsupervised acoustic modeling
unsupervised training
Online Access:http://dx.doi.org/10.4316/AECE.2015.01009

Internet

http://dx.doi.org/10.4316/AECE.2015.01009

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