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Submodular feature selection for high-dimensional acoustic score spaces
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In: http://melodi.ee.washington.edu/~bilmes/mypubs/liu-submodfeature2013-icassp.poster.pdf (2013)
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| 2 |
Factored Language Models Tutorial
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In: http://ssli.ee.washington.edu/people/duh/papers/flm-tutorial.pdf (2008)
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Datadriven graph construction for semi-supervised graphbased learning in NLP
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In: http://www.aclweb.org/anthology-new/N/N07/N07-1026.pdf (2007)
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OOV detection by joint word/phone lattice alignment
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In: http://www.speech.sri.com/papers/asru2007-oov-detection.pdf (2007)
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Abstract:
We propose a new method for detecting out-of-vocabulary (OOV) words for large vocabulary continuous speech recognition (LVCSR) systems. Our method is based on performing a joint alignment between independently generated word and phone lattices, where the word-lattice is aligned via a recognition lexicon. Based on a similarity measure between phones, we can locate highly mis-aligned regions of time, and then specify those regions as candidate OOVs. This novel approach is implemented using the framework of graphical models (GMs), which enable fast flexible integration of different scores from word lattices, phone lattices, and the similarity measures. We evaluate our method on switchboard data using RT-04 as test set. Experimental results show that our approach provides a promising and scalable new way to detect OOV for LVCSR. Index Terms — out-of-vocabulary, OOV, lattices, graphical models, Bayesian networks, dynamic Bayesian networks
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.6632
http://www.speech.sri.com/papers/asru2007-oov-detection.pdf
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| 5 |
Data-Driven Graph Construction for Semi-Supervised GraphBased Learning in NLP
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In: http://ssli.ee.washington.edu/people/katrin/Papers/alexandrescu-kirchhoff-hlt07.pdf (2007)
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| 6 |
Factored Language Models Tutorial
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In: http://ssli.ee.washington.edu/people/duh/papers/flm-manual.pdf (2007)
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| 7 |
Semi-Automatic Error Analysis for Large-Scale Statistical Machine Translation Systems
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In: http://www.mt-archive.info/MTS-2007-Kirchhoff.pdf (2007)
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| 8 |
Lexicon acquisition for dialectal Arabic using transductive learning
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In: http://www.aclweb.org/anthology-new/W/W06/W06-1647.pdf (2006)
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| 9 |
Lexicon Acquisition for . . . Using Transductive Learning
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In: http://ssli.ee.washington.edu/people/duh/papers/UWEETR-2006-0012.pdf (2006)
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| 10 |
Factored Neural Language Models
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In: https://www.ee.washington.edu/techsite/papers/documents/UWEETR-2006-0014.pdf (2006)
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| 11 |
Statistical machine translation of parliamentary proceedings using morpho-syntactic knowledge
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In: http://ssli.ee.washington.edu/people/duh/papers/tcstar06.pdf (2006)
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| 12 |
LANDMARK-BASED SPEECH RECOGNITION: REPORT OF THE 2004 Johns Hopkins Summer Workshop
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In: http://www.ifp.uiuc.edu/speech/pubs/2005/hasegawa-johnson05icassp.pdf (2005)
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| 13 |
The Vocal Joystick: A voice-based humancomputer interface for individuals with motor impairments
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In: https://www.ee.washington.edu/techsite/papers/documents/UWEETR-2005-0007.pdf (2005)
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| 14 |
Cross-dialectal acoustic data sharing for Arabic speech recognition
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In: http://ssli.ee.washington.edu/people/katrin/Papers/kirchhoff-icassp04.pdf (2004)
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| 15 |
Automatic Diacritization of Arabic for Acoustic Modeling in Speech Recognition
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In: http://www.aclweb.org/anthology-new/W/W04/W04-1612.pdf (2004)
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| 16 |
Mixed-Memory Markov Models For Automatic Language Identification
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In: http://ssli.ee.washington.edu/people/bilmes/mypapers/katrin_icassp02.ps.gz (2000)
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| 17 |
Integrating articulatory features into acoustic models for speech recognition
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In: http://www.coli.uni-saarland.de/groups/WB/Phonetics/contents/phonus-pdf/phonus5/Kirchhoff_PHONUS5.pdf (2000)
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| 18 |
Conversational speech recognition using acoustic and articulatory input
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In: http://www.icsi.berkeley.edu/~dpwe/research/etc/icassp2000/pdf/3367_17.PDF (2000)
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| 19 |
Statistical Acoustic Indications Of Coarticulation
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In: ftp://ftp.icsi.berkeley.edu/pub/speech/papers/icphs99-coart.pdf (1999)
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| 20 |
Statistical Acoustic Indications Of Coarticulation
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In: http://www.techfak.uni-bielefeld.de/ags/ai/publications/./papers/Kirchhoff1999-SAC.ps.gz (1999)
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