TY - JOUR
T1 - Speaker time-drifting adaptation using trajectory mixture hidden Markov models
AU - Su, Jian
AU - Li, Haizhou
AU - Haton, Jean Paul
AU - Ng, Kai Tat
PY - 1996
Y1 - 1996
N2 - In this paper, a trajectory mixture hidden Markov model (TMHMM) is proposed to cope with the problems of trajectory variability and speaker time-drifting. A theoretical formulation of TMHMM learning is presented. By introducing two pragmatic adaptation schemes, the practical issues which demonstrate the use of the model in capturing the time-drifting of speaker model for speaker recognition are addressed. To evaluate with the YOHO corpus, a set of phonetic units is defined. The effectiveness of the modeling approach is confirmed by a set of experiments. It is shown that an error rate of 0.07% is obtained for closed-set speaker recognition with a total population of 138 talkers. TMHMM can be considered as a special HMM topology dedicated to the time-drifting adaptation problem.
AB - In this paper, a trajectory mixture hidden Markov model (TMHMM) is proposed to cope with the problems of trajectory variability and speaker time-drifting. A theoretical formulation of TMHMM learning is presented. By introducing two pragmatic adaptation schemes, the practical issues which demonstrate the use of the model in capturing the time-drifting of speaker model for speaker recognition are addressed. To evaluate with the YOHO corpus, a set of phonetic units is defined. The effectiveness of the modeling approach is confirmed by a set of experiments. It is shown that an error rate of 0.07% is obtained for closed-set speaker recognition with a total population of 138 talkers. TMHMM can be considered as a special HMM topology dedicated to the time-drifting adaptation problem.
UR - http://www.scopus.com/inward/record.url?scp=0029765662&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029765662&origin=recordpage
U2 - 10.1109/ICASSP.1996.543219
DO - 10.1109/ICASSP.1996.543219
M3 - RGC 22 - Publication in policy or professional journal
SN - 0736-7791
VL - 2
SP - 709
EP - 712
JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
T2 - Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)
Y2 - 7 May 1996 through 10 May 1996
ER -