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Speech Recognition in Noisy environment using Transition Constrained HMM
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천이 제한 HMM을 이용한 잡음 환경에서의 음성 인식

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Type
Academic journal
Author
Kim, Weon-Goo (군산대학교 전기공학과) Shin, Won-Ho (연세대학교 전자공학과) Youn, Dae-Hee (연세대학교 전자공학과)
Journal
The Acoustical Society Of Korea 한국음향학회지 한국음향학회지 제15권 제2호 KCI Accredited Journals
Published
1996.1
Pages
85 - 89 (5page)

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Speech Recognition in Noisy environment using Transition Constrained HMM
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Research history (3)

1996

Speech Recognition in Noisy environment using Transition Constrained HMM
Kim ,  Weon-Goo ,  Shin 한국음향학회지 1996.01 Academic journal

1994

HMM with Global Path constraint in Viterbi Decoding for Insolated Word Recognition
Kim ,  Weon-Goo ,  Ahn 한국음향학회지 1994.01 Academic journal

1993

전체 경로 제한 조건을 갖는 HMM을 이용한 단독음 인식 ( HMM with Global Path Constraint for Isolated Word Recognition )
김원구 ,  차일환 ,  윤대희 대한전자공학회 학술대회 1993.01 Proceeding
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Abstract· Keywords

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In this paper, transition constrained Hidden Markov Model(HMM) in which the transition between states occur only within prescribed time slot is proposed and the performance is evaluated in the noisy environment. The transition constrained HMM can explicitly limit the state durations and accurately de scribe the temporal structure of speech signal simply and efficiently. The transition constrained HMM is not only superior to the conventional HMM but also require much less computation time. In order to evaluate the performance of the transition constrained HMM, speaker independent isolated word recognition experiments were conducted using semi-continuous HMM with the noisy speech for 20, 10, 0 dB SNR. Experiment results show that the proposed method is robust to the environmental noise. The 81.08% and 75.36% word recognition rates for conventional HMM was increased by 7.31% and 10.35%, respectively, by using transition constrained HMM when two kinds of noises are added with 10dB SNR.

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