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Development of articulatory-based multi-level segmental HMMs for phonetic classification in ASR

Russell, MJ, Jackson, PJB and Wong, MLP (2003) Development of articulatory-based multi-level segmental HMMs for phonetic classification in ASR In: 4th EURASIP Conference on Video, Image Processing and Multimedia Communications, 2003-07-02 - 2003-07-05, Zagreb, Croatia.

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Abstract

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 suficiently high or the number of articulatory-to-acoustic mappings is sufjciently large, then this upper-bound can be achieved.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Russell, MJUNSPECIFIEDUNSPECIFIED
Jackson, PJBUNSPECIFIEDUNSPECIFIED
Wong, MLPUNSPECIFIEDUNSPECIFIED
Date : 5 July 2003
Identification Number : 10.1109/VIPMC.2003.1220538
Contributors :
ContributionNameEmailORCID
EditorGrgic, MUNSPECIFIEDUNSPECIFIED
EditorGrgic, SUNSPECIFIEDUNSPECIFIED
PublisherFaculty of Electrical Engineering and Computing, Zagreb, Croatia, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : automatic speech recognition, hidden markov models, segment models
Additional Information : Copyright by Faculty of Electrical Engineering and Computing, Zagreb, 2003. Personal use of this material is permitted. Permission must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 13 Feb 2013 19:35
Last Modified : 23 Sep 2013 18:51
URI: http://epubs.surrey.ac.uk/id/eprint/7755

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