Paper Info
Title
The 2009 Ibm Gale Mandarin Broadcast Transcription System
Abstract
This paper gives an up-to-date description of the IBM Mandarin broadcast transcription system developed under the DARPA GALE program. Technical advances over our previous system include a novel acoustic modeling approach using subspace Gaussian mixture models, a speaking rate adaptation method using frame rate normalization, and an effective recipe for lattice combination. We present results on three consortium-defined test sets. It is shown that with these advances, the new system attains a 9% relative reduction in character error rate compared to our previous GALE evaluation system. The reported 9.1% error rate on the phase three evaluation set represents the state of the art in Mandarin broadcast speech transcription.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5495639
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Keywords
Field
DocType
UBM, subspace GMM, speaking rate adaptation, CFRN, speech recognition
Language translation,Normalization (statistics),Subspace topology,Computer science,Word error rate,Speech recognition,Frame rate,Hidden Markov model,Mandarin Chinese,Mixture model
Conference
ISSN
Citations 
PageRank 
1520-6149
8
0.86
References 
Authors
8
7
Name
Order
Citations
PageRank
Stephen M. Chu137226.33
Daniel Povey22442231.75
Hong-Kwang Kuo3719.60
Lidia Mangu41203125.73
Shilei Zhang5579.81
Qin Shi66110.77
Yong Qin716142.54