A simple multiple-level HMM is presented in which speech dynamics are modelled as linear trajectories in an intermediate, formant-based representation and the mapping between the intermediate and acoustic data is achieved using one or more linear transformations. An upper-bound on the performance of such a system is established. Experimental results on the TIMIT corpus demonstrate that, if the dimension of the intermediate space is sufficiently high or the number of articulatory-to-acoustic mappings is sufficiently large, then this upper-bound can be achieved.
Development of articulatory-based multilevel segmental HMMs for phonetic classification in ASR
2003-01-01
317423 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Development of Articulatory-Based Multi-Level Segmental HMMs for Phonetic Classification in ASR
British Library Conference Proceedings | 2003
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