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Speech recognition in an automobile is typically performed using a sing le microphone, often mounted in the sun-visor in front of the driver. Typical ac oustic background noise levels vary from approximately 15dB SNR to -10dB SNR. At these noise levels, even recognizers with a very small vocabulary may generate too many recognition errors for practical use.
To solve this problem, we have implemented a method of audio-visual spe ech recognition using a multisensory visor-mounted array composed of eight micro phones and dashboard-mounted array of four video cameras.
Objectives of this project are:
Structure of the Database
Created by Bowon Lee
Last updated 09/22/2005