NDLI: Discriminatively estimated joint acoustic, duration, and language model for speech recognition

Content Provider	IEEE Xplore Digital Library
Author	Lehr, M. Shafran, I.
Copyright Year	2010
Description	Author affiliation: The Center for Spoken Language Understanding (CSLU), The Oregon Health & Science University, Portland, USA (Lehr, M.; Shafran, I.)
Abstract	We introduce a discriminative model for speech recognition that integrates acoustic, duration and language components. In the framework of finite state machines, a general model for speech recognition G is a finite state transduction from acoustic state sequences to word sequences (e.g., search graph in many speech recognizers). The lattices from a baseline recognizer can be viewed as an a posteriori version of G after having observed an utterance. So far, discriminative language models have been proposed to correct the output side of G and is applied on the lattices. The acoustic state sequences on the input side of these lattice can also be exploited to improve the choice of the best hypotheses through the lattice. Taking this view, the model proposed in this paper jointly estimates the parameters for acoustic and language components in a discriminative setting. The resulting model can be factored as corrections for the input and the output sides of the general model G. This formulation allows us to incorporate duration cues seamlessly. Empirical results on a large vocabulary Arabic GALE task demonstrate that the proposed model improves word error rate substantially, with a gain of 1.6% absolute. Through a series of experiments we analyze the contributions from and interactions between acoustic, duration and language components to find that duration cues play an important role in Arabic task.
Starting Page	5542
Ending Page	5545
File Size	96621
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural languages Speech recognition Lattices Vocabulary Vectors Automata Parameter estimation Error analysis Performance gain Decoding duration modeling discriminative modeling language modeling acoustic modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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