Fast speech recognition to access a very large list of items on embedded devices

被引：4

作者：

Chung, Hoon ^{[1
]}

Park, Jeon Gue ^{[1
]}

Lee, Yun Keun ^{[1
]}

Chung, Ikjoo ^{[2
]}

机构：

[1] ETRI, Spoken Language Proc Team, Taejon 305700, South Korea

[2] Kangwon Natl Univ, Dept Elect Engn, Chunchon 200701, South Korea

来源：

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 2008年 / 54卷 / 02期

关键词：

fast decoding; HSR;

D O I：

10.1109/TCE.2008.4560163

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a fast decoding algorithm to recognize a very large number of item names on a resource-limited embedded device. The proposed algorithm is based on a multi-pass search scheme. The algorithm is composed of a two-stage HMM-based coarse match and a detailed match. The two-stage HMM-based coarse match is aimed at rapidly selecting a small set of candidates that are assumed to contain a correct hypothesis with high probability, and the detailed match re-ranks the candidates by performing acoustic rescoring. The proposed algorithm is implemented on an in-car navigation system with a 32-bit fixed-point processor operating at 620MHz. The experimental result shows that the proposed method runs at maximum speed 1.74 times real-time on the embedded device while minimizing the degradation of the recognition accuracy for a 220K Korean Point-of-Interest (POI),recognition domain.

引用

页码：803 / 807

页数：5