Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Speeding Up the Score Computation of HMM Speech Regognizers With the Bucket Voronoi Intersection Algorithm

J. Fritsch, I. Rogina, Tilo Sloboda, Alex Waibel

Interactive Systems Laboratories, University of Karlsruhe, Germany Carnegie Mellon University, USA

With increasing sizes of speech databases, speech recognizers with huge parameter spaces have become trainable. However, the time and memory requirements for high accuracy realtime speaker-independent continuous speech recognition will probably not be met by the available hardware for a reasonable price for the next few years. This paper describes the application of the Bucket Voronoi Intersection algorithm to the JANUS-2 speech recognizer, which reduces the time for the computation of HMM emission probabilities with large Gaussian mixtures by 50% to 80%.

Full Paper

Bibliographic reference.  Fritsch, J. / Rogina, I. / Sloboda, Tilo / Waibel, Alex (1995): "Speeding up the score computation of HMM speech regognizers with the bucket voronoi intersection algorithm", In EUROSPEECH-1995, 1091-1094.