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Conference Paper
Fast Speech Recognition for Voice Destination Entry in a Car Navigation System
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- Authors
- Hoon Chung, Jeon Gue Park, Hyeon Bae Jeon, Yun Keun Lee
- Issue Date
- 2009-09
- Citation
- International Speech Communication Association (INTERSPEECH) 2009, pp.975-978
- Publisher
- ISCA
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we introduce a multi-stage decoding algorithm optimized to recognize very large number of entry names on a resource-limited embedded device. The multi-stage decoding algorithm is composed of a two-stage HMM-based coarse search and a detailed search. The two-stage HMM-based coarse search generates a small set of candidates that are assumed to contain a correct hypothesis with high probability, and the detailed search re-ranks the candidates by rescoring them with sophisticate acoustic models. In this paper, we take experiments with 1-millions of point-of-interest (POI) names on an in-car navigation device with a fixed-point processor running at 620MHz. The experimental result shows that the multi-stage decoding algorithm runs about 2.23 times realtime on the device without serious degradation of recognition performance.
- KSP Keywords
- Car navigation system, Experimental Result, Fixed-point, HMM-based, Multi-stage, Point of interest, Small set, Two-Stage, acoustic model, decoding algorithm, embedded device