TY - GEN
T1 - Comparison of standard and hybrid modeling techniques for distributed speech recognition
AU - Stadermann, J.
AU - Rigoll, G.
N1 - Publisher Copyright:
© 2001 IEEE.
PY - 2001
Y1 - 2001
N2 - Distributed speech recognition (DSR) is an interesting technology for mobile recognition tasks where the recognizer is split up into two parts and connected by a transmission channel. We compare the performance of standard and hybrid modeling approaches in this environment. The evaluation is done on clean and noisy speech samples taken from the TI digits and the Aurora databases. Our results show that, for this task, the hybrid modeling techniques can outperform standard continuous systems.
AB - Distributed speech recognition (DSR) is an interesting technology for mobile recognition tasks where the recognizer is split up into two parts and connected by a transmission channel. We compare the performance of standard and hybrid modeling approaches in this environment. The evaluation is done on clean and noisy speech samples taken from the TI digits and the Aurora databases. Our results show that, for this task, the hybrid modeling techniques can outperform standard continuous systems.
UR - http://www.scopus.com/inward/record.url?scp=84962919830&partnerID=8YFLogxK
U2 - 10.1109/ASRU.2001.1034608
DO - 10.1109/ASRU.2001.1034608
M3 - Conference contribution
AN - SCOPUS:84962919830
T3 - 2001 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 - Conference Proceedings
SP - 143
EP - 146
BT - 2001 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001
Y2 - 9 December 2001 through 13 December 2001
ER -