ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 A Fully-Hardwired Implementation of Large Vocabulary Continuous Speech Recognizer
Cited 0 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
김윤주, 김주엽, 이주현, 김원종
발행일
201506
출처
International Symposium on Consumer Electronics (ISCE) 2015, pp.1-2
DOI
https://dx.doi.org/10.1109/ISCE.2015.7177803
협약과제
14PS2300, D2D연결과 실시간 음성인식 제공 디지털미디어허브 개방형 HW/SW 플랫폼 기술 개발, 김원종
초록
This article presents the hardware implementation of the speech recognition for real time performance and high-level accuracy. The stand-alone speech recognizer should simultaneously achieve the requirements, which are the low-latency performance and the low-power dissipation in an environment that cannot connect to the network. So, we made a speech recognizer as the hardware accelerator based on the hidden markov model for reducing the load of the system processor without the cloud computing. Our overall design has the fully hardwired operation flow from the generation of the speech feature to the generation of the recognized words. Our design showed low-latency performance as the real time factor of 0.4 ~ 0.5 on FPGA, which operates at 100MHz operating frequency and uses the resource of 10%.
키워드
FPGA, Hidden Markov Model, Speech Recognition
KSP 제안 키워드
Cloud Computing, Continuous Speech, Hardware Implementation, Hardware accelerator, Large vocabulary, Latency performance, Low latency, Low power dissipation, Operating frequency, Operation flow, Overall design