Speech recognition in the noisy car environment
نویسندگان
چکیده
Adaptation and use of an algorithm for recognition of connected words in an application for mobile radio telephony is described. Two data bases were collected in a compact car running about 120 km/h containing speech uttered via handset and in hands-free mode for each 10 speakers. In the first phase, a connected-words recognition algorithm was improved using the handset data base. Starting with a recognition mismatch rate of less than 1% for undisturbed speech, 14.5% errors were measured for noisy speech and an unmodified algorithm. After several modifications and introduction of new modules for speech signal preprocessing, the error rate decreased to 3% for handset data and 13.2 % for hands-free data. Work on recognition in hands-free mode is still in progress.
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عنوان ژورنال:
- Speech Communication
دوره 10 شماره
صفحات -
تاریخ انتشار 1989