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A Continuous Speech Recognition Evaluation Protocol for the AVICAR Database

Kleinschmidt, Tristan, Dean, David, Sridharan, Sridha, & Mason, Michael (2007) A Continuous Speech Recognition Evaluation Protocol for the AVICAR Database. In International Conference On Signal Processing and Communication Systems, 17-19 December, 2007, Gold Coast, Australia. (In Press)

Abstract

The use of speech recognition in automotive environments has received increased attention in recent times. Unfortunately, evaluations of algorithms designed to improve recognition performance in this environment have been performed on differing data collections, making results difficult to compare. In recent years, the University of Illinois released a large in-car audio and visual data collection known as AVICAR ("audio-visual speech in a car") [1]. The AVICAR database is freely available, but to date no uniform evaluation protocol on which to perform experiments has been reported. This paper introduces a speaker-independent, continuous speech recognition evaluation protocol for the audio data of the AVICAR database. It is designed to allow for model adaptation, evaluation and testing using native English speakers. Baseline recognition results obtained using this protocol are also presented.

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ID Code: 11337
Item Type: Conference Paper
Additional Information: For more information, please refer to the journal’s website (see hypertext link) or contact the author.
Additional URLs:
Keywords: speech recognition
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2007 (please consult author)
Deposited On: 07 Jan 2008
Last Modified: 29 Feb 2012 23:42

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