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  A two-pass strategy for handling OOVs in a large vocabulary recognition task

Scharenborg, O., & Seneff, S. (2005). A two-pass strategy for handling OOVs in a large vocabulary recognition task. In Interspeech'2005 - Eurospeech, 9th European Conference on Speech Communication and Technology, (pp. 1669-1672). ISCA Archive.

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Scharenborg, Odette1, Author           
Seneff, S.2, Author
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1CLST, Radboud University Nijmegen, Nijmegen, The Netherlands, ou_persistent22              
2Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA, ou_persistent22              

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 Abstract: This paper addresses the issue of large-vocabulary recognition in a specific word class. We propose a two-pass strategy in which only major cities are explicitly represented in the first stage lexicon. An unknown word model encoded as a phone loop is used to detect OOV city names (referred to as rare city names). After which SpeM, a tool that can extract words and word-initial cohorts from phone graphs on the basis of a large fallback lexicon, provides an N-best list of promising city names on the basis of the phone sequences generated in the first stage. This N-best list is then inserted into the second stage lexicon for a subsequent recognition pass. Experiments were conducted on a set of spontaneous telephone-quality utterances each containing one rare city name. We tested the size of the N-best list and three types of language models (LMs). The experiments showed that SpeM was able to include nearly 85% of the correct city names into an N-best list of 3000 city names when a unigram LM, which also boosted the unigram scores of a city name in a given state, was used.

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Language(s): eng - English
 Dates: 2005
 Publication Status: Issued
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Title: Interspeech'2005 - Eurospeech, 9th European Conference on Speech Communication and Technology,
Place of Event: Lisbon, Portugal
Start-/End Date: 2005-09-04 - 2005-09-08

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Title: Interspeech'2005 - Eurospeech, 9th European Conference on Speech Communication and Technology,
Source Genre: Proceedings
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Publ. Info: ISCA Archive
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1669 - 1672 Identifier: URI: http://www.isca-speech.org/archive/interspeech_2005