Title :
Korean POI word segmentation and tagging for speech interface in-vehicle navigation system
Author :
Chung, Euisok ; Wang, JiHyun ; Lee, Yun-Keun
Author_Institution :
Speech Process. Res. Team, ETRI, Daejeon
Abstract :
As speech interface for in-vehicle emerges, isolated word based large POI (point of interest) vocabulary is one of the crucial problems in speech recognition system for low-cost and small devices. The speech interface needs all speech variations of the POI vocabulary since the interface depends on the isolated word based approach. In the case of Korean, the POI word is a compound noun without blanks. Therefore, the system requires the method of compound noun segmentation and tagging for building speech variations. This paper suggests the technique of Korean POI compound noun segmentation and tagging for building the speech variations. We adopt dynamic programming in order to segment POI word and maximum entropy model in semantic tagging for each sub-word, which consists of POI compound nouns. We show that these approaches can apply to the generation of POI speech variations.
Keywords :
dynamic programming; maximum entropy methods; speech recognition; speech-based user interfaces; vocabulary; word processing; Korean POI compound noun; dynamic programming; in-vehicle navigation system; maximum entropy model; speech interface; speech recognition; tagging; word segmentation; Dictionaries; Dynamic programming; Entropy; Information analysis; Navigation; Speech analysis; Speech processing; Speech recognition; Tagging; Vocabulary; Compound noun; poi; segmentation; speech variation; tagging;
Conference_Titel :
Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
Conference_Location :
Phoenix Park
Print_ISBN :
978-89-5519-138-7
Electronic_ISBN :
1738-9445