Likelihood-maximising frameworks for enhanced in-car speech recognition
Kleinschmidt, Tristan, Sridharan, Sridha, & Mason, Michael (2009) Likelihood-maximising frameworks for enhanced in-car speech recognition. In 4th Biennial Workshop on DSP for In-Vehicle Systems and Safety, 25-27 June, 2009, Dallas, TX, USA.
Speech recognition in car environments has been identified as a valuable means for reducing driver distraction when operating non-critical in-car systems. Likelihood-maximising (LIMA) frameworks optimise speech enhancement algorithms based on recognised state sequences rather than traditional signal-level criteria such as maximising signal-to-noise ratio. Previously presented LIMA frameworks require calibration utterances to generate optimised enhancement parameters which are used for all subsequent utterances. Sub-optimal recognition performance occurs in noise conditions which are significantly different from that present during the calibration session - a serious problem in rapidly changing noise environments. We propose a dialog-based design which allows regular optimisation iterations in order to track the changing noise conditions. Experiments using Mel-filterbank spectral subtraction are performed to determine the optimisation requirements for vehicular environments and show that minimal optimisation assists real-time operation with improved speech recognition accuracy. It is also shown that the proposed design is able to provide improved recognition performance over frameworks incorporating a calibration session.
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|Item Type:||Conference Paper|
|Keywords:||In-vehicle speech technology, Robust speech recognition, Speech enhancement, Optimisation, Dialog systems|
|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
|Deposited On:||02 Jul 2009 01:59|
|Last Modified:||09 Jun 2010 13:52|
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