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Reducing errors by increasing the error rate: MLP Acoustic Modeling for Broadcast News Transcription

Nelson Morgan; Daniel P. W. Ellis; Eric Fosler-Lussier; Adam Janin; Brian Kingsbury

Title:
Reducing errors by increasing the error rate: MLP Acoustic Modeling for Broadcast News Transcription
Author(s):
Morgan, Nelson
Ellis, Daniel P. W.
Fosler-Lussier, Eric
Janin, Adam
Kingsbury, Brian
Date:
Type:
Articles
Department:
Electrical Engineering
Permanent URL:
Book/Journal Title:
Proceedings of the DARPA Broadcast News Workshop, February 28-March 3, 1999, Hilton at Washington Dulles Airport, Herndon, Virginia
Publisher:
Information Technology Laboratory, National Institute of Standards and Technology
Publisher Location:
Gaithersburg, MD
Abstract:
We describe some aspects of a Broadcast News recognition system based on hybrid HMM/MLP acoustic modeling. These include the use of novel 'modulation spectrogram' features which are combined with conventional models at the posterior probability level, some experiments with nonlinear segment normalization, and an investigation of the interaction of model size and training set size for an multilayer perceptron (MLP) acoustic classifier. We also report preliminary results of incorporating gender-dependence into this system.
Subject(s):
Electrical engineering
Artificial intelligence
Item views:
66
Metadata:
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