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학술지 Memory Efficient and Fast Speech Recognition System for LowResource Mobile Devices
Cited 8 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
저자
정훈, 정익주
발행일
200608
출처
IEEE Transactions on Consumer Electronics, v.52 no.3, pp.792-796
ISSN
0098-3063
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCE.2006.1706471
협약과제
06MW1800, 신성장동력산업용 대용량 대화형 분산 처리 음성인터페이스 기술개발, 이영직
초록
In this paper, we consider practical issues such as memory efficiency and fast decoding to make continuous density hidden Markov model (CDHMM)-based large vocabulary speech recognition system work on resource limited mobile devices. Particularly, we focus on memory efficient acoustic modeling and fast state likelihood computation. The proposed techniques are implemented in a speaker-independent Korean speech recognition system running on a Personal Digital Assistant (PDA) with a 32-bit fixed-point processor operating at 400MHz. The system uses 0.5MB memory for representing 28448 Gaussians and it runs at 2.54×RT without serious degradation of accuracy on 10k phonetically optimized words recognition task domain. © 2006 IEEE.
KSP 제안 키워드
Acoustic modeling, Continuous Density Hidden Markov Model(CDHMM), Fast Decoding, Fixed-point, Korean speech, Memory Efficiency, Mobile devices, Personal digital assistant(PDA), Practical issues, Speaker-Independent, Speech recognition system