Second-Order Models for Hidden Chunk Models
Conference: Sprachkommunikation 2010 - 9. ITG-Fachtagung
10/06/2010 - 10/08/2010 at Bochum, Deutschland
Proceedings: Sprachkommunikation 2010
Pages: 4Language: englishTyp: PDF
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Authors:
Höge, Harald (Universität der Bundeswehr München, Germany)
Abstract:
Chunks are sequences of feature vectors representing segments, which are parts of phones. Hidden chunk models (HCMs) differ from HMMs in the acoustic model of segments leading to significant better performance. Still the HCM investigated hitherto assume that adjacent feature vectors are statistical independent. In this paper a second order approximation of emission probabilities is investigated, where the statistical dependency between two adjacent feature vectors within a chunk is modeled. Improvements compared to first order approximation have been achieved.