Second , using continuous distributions allows us to leverage a variety of tools ( e.g. , LDA ) that have been shown to be successful in other fields , such as speech recognition ( Evermann et al. , 2004 ) .
cuhtk conversational telephone speech transcription system
Gunnar Evermann H Y Chan Mark J F Gales Thomas Hain Xunying Liu David Mrva Lan Wang Phil Woodland
This is not possible when modeling word sequences , where only the probability of a sentence is actually used in the HMM training . Second , using continuous distributions allows us to leverage a variety of tools ( e.g. , LDA ) that have been shown to be successful in other fields , such as speech recognition ( Evermann et al. , 2004 ) . Table 2 ( b ) represents the closest head-to-head comparison between our generative approach ( HMM with LDA ) and state-of-the-art results reported by M&S using SVMs .
Second , using continuous distributions allows us to leverage a variety of tools ( e.g. , LDA ) that have been shown to be successful in other fields , such as speech recognition ( @@CITATION ) .