The Titech large vocabulary WFST speech recognition system
- Resource Type
- Conference
- Authors
- Dixon, Paul R.; Caseiro, Diamantino A.; Tasuku Oonishi; Sadaoki Furui
- Source
- 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU) Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on. :443-448 Dec, 2007
- Subject
- Signal Processing and Analysis
Computing and Processing
Vocabulary
Speech recognition
Decoding
Space technology
Graphics
Natural languages
Transducers
Computer science
Speech analysis
Parallel programming
- Language
In this paper we present evaluations on the large vocabulary speech decoder we are currently developing at Tokyo Institute of Technology. Our goal is to build a fast, scalable, flexible decoder to operate on weighted finite state transducer (WFST) search spaces. Even though the development of the decoder is still in its infancy we have already implemented a impressive feature set and are achieving good accuracy and speed on a large vocabulary spontaneous speech task. We have developed a technique to allow parts of the decoder to be run on the graphics processor, this can lead to a very significant speed up.