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How Diachronic Text Corpora Affect Context based Retrieval of OOV Proper Names for Audio News
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In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01331714 ; LREC 2016, May 2016, Portoroz, Slovenia (2016)
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Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition
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In: INTERSPEECH 2016 ; https://hal.archives-ouvertes.fr/hal-01384488 ; INTERSPEECH 2016, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-1219⟩ (2016)
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Untersuchung von Methoden der Sprachmodellierung für die Spracherkennung von offenem Vokabular ... : Investigation on language modelling approaches for open vocabulary speech recognition ...
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Study of Entity-Topic Models for OOV Proper Name Retrieval
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In: Interspeech 2015 ; https://hal.archives-ouvertes.fr/hal-01184955 ; Interspeech 2015, Sep 2015, Dresden, Germany (2015)
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| 5 |
Comparing decoding strategies for subword-based keyword spotting in low-resourced languages
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843408 ; Annual Conference of the International Speech Communication Association , ISCA, Sep 2014, Singapore, Singapore (2014)
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| 6 |
About Combining Forward and Backward-Based Decoders for Selecting Data for Unsupervised Training of Acoustic Models
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In: INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-01090483 ; INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, Sep 2014, Singapour, Singapore (2014)
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| 7 |
Some issues affecting the transcription of hungarian broadcast audio
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843430 ; Annual Conference of the International Speech Communication Association , Aug 2013, Lyon, France (2013)
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| 8 |
Social recommendation using speech recognition: Sharing TV scenes in social networks
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In: Fraunhofer IAIS (2012)
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| 9 |
APPLICATION OF OUT-OF-LANGUAGE DETECTION TO SPOKEN-TERM DETECTION
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| 10 |
ENGLISH SPOKEN TERM DETECTION IN MULTILINGUAL RECORDINGS
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In: http://publications.idiap.ch/downloads/reports/2010/Motlicek_Idiap-RR-21-2010.pdf (2010)
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| 11 |
Pronunciation modeling for large vocabulary speech recognition
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| 12 |
Detection of OOV words by combining acoustic confidence measures with linguistic features
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In: proceedings of Automatic Speech Recognition and Understanding ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU) ; https://hal.archives-ouvertes.fr/hal-00435087 ; The eleventh biannual IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2009, Merano, Italy. pp.1-4 (2009)
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| 13 |
Recent improvements of the RWTH GALE mandarin LVCSR system
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In: http://www-i6.informatik.rwth-aachen.de/publications/download/588/PlahlChristianHoffmeisterBj%7Bo%7DrnHwangMei-YuhLuDanjuHeigoldGeorgL%7Bo%7D%7Bo%7DfJonasSchl%7Bu%7DterRalfNeyHermann--RecentImprovementsoftheRWTHGALEMarinLVCSRSystem--2008.pdf (2008)
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| 14 |
Automatic Speech Recognition for Under-Ressourced Languages ; Reconnaissance automatique de la parole pour des langues peu dotées
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In: https://tel.archives-ouvertes.fr/tel-00081061 ; Interface homme-machine [cs.HC]. Université Joseph-Fourier - Grenoble I, 2006. Français (2006)
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| 15 |
Acoustic modeling and language modeling for Cantonese LVCSR
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In: http://www.se.cuhk.edu.hk/~wklo/docpub/WongEUROSPEECH99.pdf (1999)
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| 16 |
Acoustic Modeling And Language Modeling For Cantonese Lvcsr
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In: http://www.ee.cuhk.edu.hk/~tanlee/paper/CanLVCSR.pdf (1999)
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| 17 |
USING PROXIES FOR OOV KEYWORDS IN THE KEYWORD SEARCH TASK
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In: http://www.clsp.jhu.edu/%7Eguoguo/papers/asru2013_proxy_keyword.pdf
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| 18 |
Pre-Initialized Composition For Large-Vocabulary Speech Recognition
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In: http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/41410.pdf
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| 19 |
TURKISH LVCSR: TOWARDS BETTER SPEECH RECOGNITION FOR AGGLUTINATIVE LANGUAGES
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In: http://www.is.cs.cmu.edu/papers/speech/ICASSP2000/icassp2000-tanja2.pdf
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| 20 |
INTERSPEECH 2013 Feature-rich sub-lexical language models using a maximum entropy approach
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In: http://www-i6.informatik.rwth-aachen.de/publications/download/874/BashaShaikM.AliEl-DesokyMousaAmrSchluterRalfNeyHermann--Feature-richsub-lexicallanguagemodelsusingamaximumentropyapproachforGermanLVCSR--2013.pdf
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