The application of phonetic distribution normalisation to likelihood-maximising speech enhancement for robust ASR

Kleinschmidt, Tristan, Sridharan, Sridha, & Mason, Michael W. (2010) The application of phonetic distribution normalisation to likelihood-maximising speech enhancement for robust ASR. In Tabain, Marija, Fletcher, Janet, Grayden, David, Hajek, John, & Butcher, Andy (Eds.) Proceedings of the 13th Australasian International Conference on Speech Science and Technology, The Australasian Speech Science and Technology Association Inc., La Trobe University, Melbourne, Victoria, pp. 118-121.

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Traditional speech enhancement methods optimise signal-level criteria such as signal-to-noise ratio, but such approaches are sub-optimal for noise-robust speech recognition. Likelihood-maximising (LIMA) frameworks on the other hand, optimise the parameters of speech enhancement algorithms based on state sequences generated by a speech recogniser for utterances of known transcriptions. Previous applications of LIMA frameworks have generated a set of global enhancement parameters for all model states without taking in account the distribution of model occurrence, making optimisation susceptible to favouring frequently occurring models, in particular silence. In this paper, we demonstrate the existence of highly disproportionate phonetic distributions on two corpora with distinct speech tasks, and propose to normalise the influence of each phone based on a priori occurrence probabilities. Likelihood analysis and speech recognition experiments verify this approach for improving ASR performance in noisy environments.

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ID Code: 34490
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Speech Recognition, Speech Enhancement, Optimization Methods
ISBN: 9780958194631
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 The Australasian Speech Science and Technology Association Inc.
Deposited On: 27 Jan 2011 23:13
Last Modified: 29 Feb 2012 14:31

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