Testing some essential parameters of a word recogniser used in car noise
1989 (English)Conference paper (Refereed)
A speaker-dependent word recognition system has been modified to improve the performance in noise. Problems with word detection and noise compensation have been addressed by using a close-talk microphone and a "noise addition" method. The reference templates are recorded in relative silence. The additional environmental noise during the recognition phase is measured and is "added" to the reference templates before using them for template matching. The recognition performance has been tested in moving cars with references recorded in parked cars. Recordings of six male speakers have been used in this report to rest the sensitivity of the recognition system to some essential parameters. The results from six male speakers and a twenty word vocabulary show that adapting the endpoint detection threshold to the noise level is essential for good performance and that noise compensation is imponant at signal-to-noise ratios below 15 dB.
Place, publisher, year, edition, pages
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-93596OAI: oai:DiVA.org:kth-93596DiVA: diva2:517139
In Proceedings of ESCA Workshop on Speech Input/Output Assessment and Speech Databases
NR 201408052012-04-212012-04-21Bibliographically approved