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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Quantifying the value of pronunciation lexicons for keyword search in low resource languages Guoguo Chen; Sanjeev Khudanpur; Daniel Povey; Jan Trmal; David Yarowsky; Oguz Yilmaz 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 BASE Hide details 2 Sequencediscriminative training of deep neural networks Arnab Ghoshal; Daniel Povey In: http://www.cstr.ed.ac.uk/downloads/publications/2013/is13-dnn_seq.pdf (2013) BASE Show details 3 The kaldi speech recognition toolkit Daniel Povey; Arnab Ghoshal; Gilles Boulianne... In: http://publications.idiap.ch/downloads/papers/2012/Povey_ASRU2011_2011.pdf (2011) BASE Show details 4 The Kaldi speech recognition toolkit,” in Daniel Povey; Arnab Ghoshal; Gilles Boulianne... In: http://danielpovey.com/files/2011_asru_kaldi.pdf (2011) BASE Show details 5 Multilingual Acoustic Modeling for Speech Recognition based on Subspace Gaussian Mixture Models Petr Schwarz; Mohit Agarwal; Pinar Akyazi... In: http://www.clsp.jhu.edu/%7Esamuel/pdfs/sgmm_multiling.pdf (2010) BASE Show details 6 USING PROXIES FOR OOV KEYWORDS IN THE KEYWORD SEARCH TASK Guoguo Chen; Oguz Yilmaz; Jan Trmal... In: http://www.clsp.jhu.edu/%7Eguoguo/papers/asru2013_proxy_keyword.pdf BASE Show details 7 APPROACHES TO AUTOMATIC LEXICON LEARNING WITH LIMITED TRAINING EXAMPLES Nagendra Goel; Samuel Thomas; Mohit Agarwal... In: http://www.clsp.jhu.edu/%7Esamuel/pdfs/sgmm_lexicon.pdf BASE Show details 8 Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models Petr Schwarz; Mohit Agarwal; Pinar Akyazi... In: http://www.lsv.uni-saarland.de/personalPages/aghoshal/pubs/icassp10-multiling.pdf BASE Show details 9 SOME INSIGHTS FROM TRANSLATING CONVERSATIONAL TELEPHONE SPEECH Gaurav Kumar; Matt Post; Daniel Povey... In: http://cs.jhu.edu/~post/papers/kumar2013some.pdf BASE Show details

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