H. Hofmann, S. Sakti, R. Isotani, H. Kawai, S. Nakamura and W. Minker
Sequence-Based Pronunciation Modeling Using a Noisy-Channel Approach
Spoken Dialogue Systems for Ambient Environments, Springer Berlin / Heidelberg, Series: Lecture Notes in Computer Science, Vol. 6392, pp. 156-162, 2010
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H. Hofmann, S. Sakti, R. Isotani, H. Kawai, S. Nakamura and W. Minker
Improving Spontaneous English ASR Using a Joint-sequence Pronunciation Model
4th International Universal Communication Symposium (IUCS) 2010, Bejing, China, 2010
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S. Sakti, K. Markov, S. Nakamura and W. Minker
Incorporating Knowledge into Statistical Acoustic Models for Spoken Language Dialog Systems
Springer, Boston (USA), Series: Lecture Notes in Electrical Engineering, Vol. 42, 2009
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S. Sakti, E. Kelana, H. Riza, K. Markov and S. Nakamura
Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project
Workshop on Technologies and Corpora for Asia-Pacific Speech Translation, Hyderabad (India), 2008
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S. Sakti, K. Markov and S. Nakamura
An HMM Acoustic Model Incorporating Various Additional Knowledge Sources
European Conference on Speech and Language Processing (EUROSPEECH), Antwerp (Belgium), August 2007
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S. Sakti, K. Markov and S. Nakamura
A method to Integrate Additional Knowledge Sources Into HMM Based on Junction Tree Decomposition
European Signal Processing Conference (EUSIPCO), Poznan (Poland), 2007
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S. Sakti, K. Markov and S. Nakamura
Incorporating Knowledge Sources into a Statistical Acoustic Model for Spoken Language Communication Systems
IEEE Transactions on Computers, 2007
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S. Sakti, E. Kelana, H. Riza and S. Nakamura
Large Vocabulary ASR for Indonesian Language in the A-STAR Project
ASJ Autumn Meeting, Yamanashi (Japan), 2007
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S. Sakti, K. Markov and S. Nakamura
Utilizing Junction Tree Decomposition for Incorporating Accent, Gender, and Wide-Context Dependency Information
ASJ Spring Meeting, Tokio (Japan), 2007
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S. Sakti, K. Markov and S. Nakamura
A Hybrid HMM/BN Acoustic Model Utilizing Pentaphone-Context Dependency
IEICE Trans. Inf. & Syst., 2006
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S. Sakti, K. Markov and S. Nakamura
A Hybrid Pentaphone HMM/BN Acoustic Model
ASJ Spring Meeting, Tokyo (Japan), 2006
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S. Sakti, S. Nakamura and K. Markov
Improving Acoustic Model Precision by Incorporating a Wide Phonetic Context Based on a Bayesian Framework
IEICE Trans. Inf. & Syst., 2006
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S. Sakti, K. Markov and S. Nakamura
Incorporation of Pentaphone-Context Dependency Based on Hybrid HMM/BN Acoustic Modeling Framework
International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse (France), 2006
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S. Sakti, K. Markov and S. Nakamura
The Use of Bayesian Network for Incorporating Accent, Gender and Wide-Context Dependency Information
International Conference on Speech and Language Processing (ICSLP), Pittsburgh (USA), 2006
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S. Sakti, K. Markov and S. Nakamura
Utilizing Bayesian Network and Junction Tree Decomposition for Incorporating Additional Knowledge Sources into a Statistical Acoustic Model
8th IEICE Speech Processing Symposium, Nagoya (Japan), 2006
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S. Sakti, K. Markov and S. Nakamura
Modeling Quasi-Pentaphone Units with the Hybrid HMM/BN Acoustic Model
10th International Conference on Speech and Computer (SPECOM), Patras (Greece), October 2005
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S. Sakti, S. Nakamura and K. Markov
Composing a Wide Phonetic Context Unit based on Bayesian Framework
Autumn Meeting of the Acoustical Society of Japan (ASJ), Sendai (Japan), September 2005
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S. Sakti, S. Nakamura and K. Markov
Incorporating a Bayesian Wide Phonetic Context Model for Acoustic Rescoring
European Conference on Speech and Language Processing (EUROSPEECH), Lisbon (Portugal), September 2005
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S. Sakti, K. Markov and S. Nakamura
Rapid Development of Initial Indonesia Phoneme-Based Speech Recognition Using Cross-Language Approach
O-COCOSDA, Jakarta (Indonesia), 2005
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