Speech Recognition in SRI's Resource Management and ATIS Systems

A contoured double-lip seal and bearing assembly incorporating at least one such seal in the annular gap between the annular races thereof. The double-lip seal comprises a reinforcing washer in which a mass of fluid resistant resilient material is secured and is integrally formed with a pair of annular axially spaced sealing members. The inner sealing member adapted to be disposed adjacent to the anti-friction elements of the bearing is of an arcuate transverse configuration and terminates in a sealing lip of a frusto-conical configuration which projects axially and radially outwardly of the bearing at an acute angle to the axis of the bearing and is disposed in resilient sliding sealing relationship on a cylindrical section of one of the race members. The outer sealing member also terminates in an outer sealing lip of a frusto-conical configuration projecting axially and radially in the same direction as the inner sealing lip and projects at an acute angle to the surface of a chamfer formed on the outer end portion of the one race member.

[1]  Chris Barry,et al.  Speaker adaptation from a speaker-independent training corpus , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[2]  Patti Price,et al.  The DARPA 1000-word resource management database for continuous speech recognition , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[3]  Slava M. Katz,et al.  Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..

[4]  Kai-Fu Lee,et al.  Corrective and reinforcement learning for speaker-independent continuous speech recognition , 1989, EUROSPEECH.

[5]  Lalit R. Bahl,et al.  A new algorithm for the estimation of hidden Markov model parameters , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[6]  Mitch Weintraub,et al.  Training Set Issues in SRI's DECIPHER Speech Recognition System , 1990, HLT.

[7]  Douglas E. Appelt,et al.  A Template Matcher for Robust NL Interpretation , 1991, HLT.

[8]  Xuedong Huang,et al.  Semi-continuous hidden Markov models for speech recognition , 1989 .

[9]  Frederick Jelinek,et al.  Interpolated estimation of Markov source parameters from sparse data , 1980 .

[10]  Richard M. Schwartz,et al.  Automatic Detection Of New Words In A Large Vocabulary Continuous Speech Recognition System , 1989, HLT.

[11]  Mei-Yuh Hwang,et al.  Improved Hidden Markov Modeling for Speaker-Independent Continuous Speech Recognition , 1990, HLT.

[12]  Mitch Weintraub,et al.  The decipher speech recognition system , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[13]  Jerome R. Bellegarda,et al.  Tied mixture continuous parameter modeling for speech recognition , 1990, IEEE Trans. Acoust. Speech Signal Process..

[14]  D. S. Pallett,et al.  Benchmark tests for DARPA resource management database performance evaluations , 1989, International Conference on Acoustics, Speech, and Signal Processing,.