Robust Speech Recognition and Understanding 2007
DOI: 10.5772/4747
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Double Layer Architectures for Automatic Speech Recognition Using HMM

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Cited by 3 publications
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“…In an effort to model the temporal properties of the speech signal, class labels modeling (Stemmer et al, 2003) has been studied in a double layer speech recognition framework (Casar & Fonollosa, 2006a). The main idea was to deal with acoustic and temporal information in two different steps.…”
Section: Time Independence and Parameter Independence Assumptionsmentioning
confidence: 99%
“…In an effort to model the temporal properties of the speech signal, class labels modeling (Stemmer et al, 2003) has been studied in a double layer speech recognition framework (Casar & Fonollosa, 2006a). The main idea was to deal with acoustic and temporal information in two different steps.…”
Section: Time Independence and Parameter Independence Assumptionsmentioning
confidence: 99%