Sixth European Conference on Speech Communication and Technology
(EUROSPEECH'99)

Budapest, Hungary
September 5-9, 1999

Towards Robust Speech Recognition in the Telephony Network Environment - Cellular and Landline Conditions

Subrata Das, David Lubensky, Cheng Wu

IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA

We describe several speaker-independent speech recognition studies conducted with both landline and cellular network telephone data. The cellular environment included the three dominant standards found in the United States: CDMA, TDMA and GSM. Our goal was to design a system that operated over all these four channels, handling their innate variations, such as those of background and line characteristics. Our baseline system was trained on 200 hours of landline telephone speech from about 25,000 speakers. We experimented with MAP adaptation utilizing some training sentences from our cellular and landline databases. We applied an LDA procedure to improve our performance. We compared the performances of these systems on several independent test databases and demonstrated the effectiveness of a hybrid system built with data taken from all four networks.


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Bibliographic reference.  Das, Subrata / Lubensky, David / Wu, Cheng (1999): "Towards robust speech recognition in the telephony network environment - cellular and landline conditions", In EUROSPEECH'99, 1959-1962.