Minimum phone error (MPE) model and feature training on mandarin broadcast news task

Authors:
Jia-Yu Chen;Chia-Yu Wan;Yi Chen;Berlin Chen;Lin-shan Lee
Affiliations:
Graduate Institute of Communication Engineering, National Taiwan University, Taipei;Graduate Institute of Communication Engineering, National Taiwan University, Taipei;Graduate Institute of Communication Engineering, National Taiwan University, Taipei;Graduate Institute of Computer Science and Information Engineering, National Taiwan Normal University, Taipei;Graduate Institute of Communication Engineering, National Taiwan University, Taipei
Venue:
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Year:
2006

Citing 1
Cited 0

Investigation of silicon auditory models and generalization of linear discriminant analysis for improved speech recognition

Investigation of silicon auditory models and generalization of linear discriminant analysis for improved speech recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Minimum Phone Error (MPE) criterion for discriminative training was shown to be able to offer acoustic models with significantly improved performance. This concept was then further extended to Feature-space Minimum Phone Error (fMPE) and offset fMPE for training feature parameters as well. This paper reviews the concept of MPE and reports the experiments and results in performing MPE, fMPE and offset fMPE on the task of Mandarin Broadcast News, and significant improvements were obtained similar to the results reported for other languages and other tasks by other sites. In addition, a new concept of dimension-weighted offset fMPE is proposed in this work and even better performance than offset fMPE was obtained.