The effect of dialect mismatch on likelihood-maximising speech enhancement for noise-robust speech recognition
Kleinschmidt, Tristan, Sridharan, Sridha, & Mason, Michael (2010) The effect of dialect mismatch on likelihood-maximising speech enhancement for noise-robust speech recognition. 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 & Technology Association, La Trobe University, Melbourne, Victoria, pp. 114-117.
Traditional speech enhancement methods optimise signal-level criteria such as signal-to-noise ratio, but these approaches are sub-optimal for noise-robust speech recognition. Likelihood-maximising (LIMA) frameworks are an alternative that optimise parameters of enhancement algorithms based on state sequences generated for utterances with known transcriptions. Previous reports of LIMA frameworks have shown significant promise for improving speech recognition accuracies under additive background noise for a range of speech enhancement techniques. In this paper we discuss the drawbacks of the LIMA approach when multiple layers of acoustic mismatch are present – namely background noise and speaker accent. Experimentation using LIMA-based Mel-filterbank noise subtraction on American and Australian English in-car speech databases supports this discussion, demonstrating that inferior speech recognition performance occurs when a second layer of mismatch is seen during evaluation.
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|Item Type:||Conference Paper|
|Keywords:||Speech Recognition, Speech Enhancement, Optimization methods, Accent Mismatch|
|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 23:19|
|Last Modified:||29 Feb 2012 14:31|
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