Improvements in HMM adaptation for handwriting recognition using writer identification and duration adaptation

Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010

Volumn , Issue , 2010, Pages 154-159

  Cao, Huaigu ^a   Prasad, Rohit ^a   Natarajan, Prem ^a  

^a BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HANDWRITING RECOGNITION; OFFLINE HANDWRITING RECOGNITION; PARAMETER ADAPTATION; TEST SAMPLES; TRAINING DATA; TRAINING SETS; TRANSITION PROBABILITIES; WRITER IDENTIFICATION;

ALGORITHMS; HIDDEN MARKOV MODELS;

CHARACTER RECOGNITION;

EID: 79951691874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2010.31     Document Type: Conference Paper

References (10)

1. Jean-luc Gauvain and Chin-hui Lee. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing, 94(2), pp. 291-298, 1994.
2. C.J. Leggetter and P.C. Woodland. Speaker adaptation of HMMs using linear regression. Technical Report CUED/F-INFENG/TR 181, Cambridge University Engineering Department, 1994.
3. L. Uebel and P.Woodland. Speaker adaptation using lattice-based MLLR. In Proceedings of the ISCA Tutorial and Research Workshop (ITRW) on Adaptation Methods for Speech Recognition, 2001.
4. M. Padmanabhan, L. Bahl, D. Nahamoo, and M. Picheny. Speaker clustering and transformation for speaker adaptation in speech recognition systems. IEEE Transactions on Speech and Audio Processing, 6(1):71-77, 1998. (Pubitemid 128720633)
5. S. Yoshizawa, A. Baba, K. Matsunami, Y. Mera, M. Yamada, and K. Shikano. Unsupervised speaker adaptation based on sufficient HMM statistics of selected speakers. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 341-344, 2001.
6. C. Huang, T. Chen, and E. Chang. Speaker selection training for large vocabulary continuous speech recognition. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 609-612, 2002.
7. R. Gomez, T. Toda, H. Saruwatari, and K. Shikano. Improving rapid unsupervised speaker adaptation based on HMM sufficient statistics. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006.
8. Huaigu Cao, Rohit Prasad, Shirin Saleem, and Premkumar Natarajan. Unsupervised HMM Adaptation Using Page Style Clustering. in Proceedings of the International Conference on Document Analysis and Recognition, pp. 1091-1095, 2009.
9. S. N. Srihari, S.-H. Cha, H. Arora, and S. Lee. Individuality of handwriting. Journal of Forensic Sciences, 47(4):1-17, 2002.
10. Shirin Saleem, Huaigu Cao, Krishna Subramanian, Matin Kamali, Rohit Prasad, and Prem Natarajan. Improvements in BBN's HMM-based offline Arabic handwriting recognition system. in Proceedings of the International Conference on Document Analysis and Recognition, pp. 773-777, 2009.