A data-driven model parameter compensation method for noise-robust speech recognition

IEICE Transactions on Information and Systems

Volumn E88-D, Issue 3, 2005, Pages 432-434

  Chung, Yongjoo ^a  

^a Keimyung University   (South Korea)

Author keywords

HMM; Noisy speech recognition

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

BAUM-WELCH ALGORITHM; HMM; NOISY SPEECH RECOGNITION;

SPEECH RECOGNITION;

EID: 24144461915     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: 10.1093/ietisy/e88-d.3.432     Document Type: Article

References (4)

1. M.J.F. Gales, Model Based Techniques for Noise-Robust Speech Recognition, Ph.D. Dissertation, University of Cambridge, 1995.
2. P.J. Moreno, Speech Recognition in Noisy Environments, Ph. D. Dissertation, Carnegie Mellon University, 1996.
3. J-W. Hung, J-L. Shen, and L-S. Lee, "New approaches for domain transformation and parameter combination for improved accuracy in parallel model combination (PMC) techniques," IEEE Trans. Speech Audio Process., vol.9, no.8, pp.842-855, 2001.
4. S. Sagayama, Y. Yamaguchi, S. Takahashi, and J. Takahashi, "Jacobian approach to fast acoustic model adaptation," Int. Conf. Acoust., Speech, Signal Processing, pp.835-838, 1997.