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Quantifying the value of pronunciation lexicons for keyword search in low resource languages
In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013)
Abstract: This paper quantifies the value of pronunciation lexicons in large vocabulary continuous speech recognition (LVCSR) systems that support keyword search (KWS) in low resource languages. State-of-the-art LVCSR and KWS systems are developed for conver-sational telephone speech in Tagalog, and the baseline lexicon is augmented via three different grapheme-to-phoneme models that yield increasing coverage of a large Tagalog word-list. It is demon-strated that while the increased lexical coverage — or reduced out-of-vocabulary (OOV) rate — leads to only modest (ca 1%-4%) improvements in word error rate, the concomitant improvements in actual term weighted value are as much as 60%. It is also shown that incorporating the augmented lexicons into the LVCSR system before indexing speech is superior to using them post facto, e.g., for approximate phonetic matching of OOV keywords in pre-indexed lattices. These results underscore the disproportionate importance of automatic lexicon augmentation for KWS in morphologically rich languages, and advocate for using them early in the LVCSR stage.
Keyword: Index Terms — Speech Recognition; Informa- tion Retrieval; Keyword Search; large; Morphology; Speech Synthesis 1. LOW-RESOURCE KEYWORD SEARCH Thanks in part to the falling costs of storage and t
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.401
http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf
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2
Sequential system combination for machine translation of speech
In: http://www.clsp.jhu.edu/~damianos/slt08_mt_combination.pdf (2008)
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3
Unsupervised Learning of Acoustic Subword Units
In: http://www.clsp.jhu.edu/~balakris/pubs/acl08superbrief.pdf (2008)
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4
Unsupervised learning of acoustic sub-word units
In: http://aclweb.org/anthology-new/P/P08/P08-2042.pdf (2008)
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5
Lexical triggers and latent semantic analysis for crosslingual language model adaptation
In: http://www.clsp.jhu.edu/~woosung/pdf/talip04.pdf (2004)
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6
Contemporaneous Text as Side-Information in Statistical Language Modeling
In: http://www.clsp.jhu.edu/~woosung/pdf/csl04.pdf (2004)
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7
Cross-lingual latent semantic analysis for LM
In: http://www.clsp.jhu.edu/~woosung/pdf/icassp04.pdf (2004)
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8
Language Model Adaptation Using Cross-Lingual Information
In: http://www.clsp.jhu.edu/~woosung/pdf/euro03.pdf (2003)
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9
Cross-Lingual Lexical Triggers in Statistical Language Modeling
In: http://acl.ldc.upenn.edu/W/W03/W03-1003.pdf (2003)
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10
Cross-Lingual Lexical Triggers in Statistical Language Modeling
In: http://www.clsp.jhu.edu/~woosung/pdf/emnlp03.pdf (2003)
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11
Contemporaneous Text as Side-Information in Statistical Language Modeling
In: http://www.clsp.jhu.edu/~sanjeev/Pubs/CSL2003b.pdf (2003)
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12
Making miracles: Interactive translingual search for cebuano and hindi
In: http://www.sis.pitt.edu/~daqing/docs/talip-final.pdf (2003)
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13
Maximum Entropy Language Modeling with Non-Local and Syntactic Dependencies
In: http://www.cs.jhu.edu/~junwu/gbo.ps (2002)
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14
Using Cross-Language Cues For Story-Specific Language Modeling
In: http://www.clsp.jhu.edu/~woosung/pdf/icslp02.pdf (2002)
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15
Smoothing Issues in the Structured Language Model
In: http://cs.jhu.edu/~junwu/eurospeech01.ps (2001)
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16
Smoothing Issues in the Structured Language Mode
In: http://www.clsp.jhu.edu/~woosung/pdf/euro01.pdf (2001)
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17
Pronunciation modeling by sharing Gaussian densities across phonetic models,” Computer Speech and Language
In: http://busim.ee.boun.edu.tr/~speech/publications/Speech_Recognition/eurospeech99.pdf (2000)
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18
Pronunciation modeling by sharing Gaussian densities across phonetic models
In: ftp://svr-ftp.eng.cam.ac.uk/pub/reports/nock_csl00.pdf (2000)
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19
Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval
In: http://www.se.cuhk.edu.hk/PEOPLE/hmmeng/MEI_Final_Report2000.pdf (2000)
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Pronunciation modeling by sharing Gaussian densities across phonetic models
In: http://mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf (2000)
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