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GlobalPhone: A Multilingual Speech and Text Database Developed at Karlsruhe University
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp02.pdf (2002)
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Polyphone Decision Tree Specialization for Language Adaptation
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icassp00-multi.pdf (2000)
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Experiments towards a Multi-language LVCSR Interface
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icmi99.ps.gz (2000)
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Experiments towards a multi-language LVCSR interface
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1999_2/schultz_tanja_1999_2.pdf (2000)
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Polyphone Decision Tree Specialization For Language Adaptation
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In: http://werner.ira.uka.de/~tanja/Papers/schultz_icassp00-multi.ps.gz (2000)
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Development of Multilingual Acoustic Models in the GlobalPhone Project
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_tsd98.ps.gz (1998)
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Language Independent and Language Adaptive Large Vocabulary Speech Recognition
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp98.ps.gz (1998)
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Language independent and language adaptive large vocabulary speech recognition
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In: http://www.informedia.cs.cmu.edu/mli/papers/icslp98-tanja.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.informedia.cs.cmu.edu/mli/papers/darpa-broadcast-ws98-tanja.pdf (1998)
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Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_specom98.ps.gz (1998)
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Abstract:
This paper studies the relative effectiveness of different methods for multilingual model combination and dictionary mapping for recognizing a new unseen target language if training data are limited. We examine the crosslanguage transfer from monolingual and multilingual models to German and Russian language for large vocabulary speech recognition using a dictation database which has been collected under the project GlobalPhone. This project at the University of Karlsruhe investigates LVCSR systems in 15 languages of the world, namely Arabic, Chinese, Croatian, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Tamil, and Turkish. Based on a global phoneme set we create recognizer which combine up to eight languages and perform recognition results in language independent and adaptive setups. We found that multilingual context dependent models outperform monolingual models for the purpose of crosslanguage transfer. Two dictionary mapping approache.
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Keyword:
Chinese; Croatian; English; French; German; Italian; Japanese; Korean; namely Arabic; Portuguese; Russian; Spanish; Swedish; world
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.7065 http://www-2.cs.cmu.edu/~tanja/Papers/schultz_specom98.ps.gz
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Language Independent and Language Adaptive Large Vocabulary Speech Recognition in
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_2/schultz_tanja_1998_2.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_1/schultz_tanja_1998_1.pdf (1998)
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Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_3/schultz_tanja_1998_3.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.nist.gov/itl/div894/894.01/proc/darpa98/pdf/ww30.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.nist.gov/speech/publications/darpa98/ps/ww30.ps (1998)
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The CHILDES System
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In: http://www.ai.mit.edu/people/jimmylin/papers/MacWhinney96.pdf (1996)
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The UNL Initiative: An Overview
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In: http://www.vai.dia.fi.upm.es/publicaciones/CICLING-2005.pdf
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What languages are taught as heritage languages in the United States?
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In: http://www.cal.org/heritage/pdfs/briefs/what-languages-are-taught-as-heritage-languages-in-the-united-states.pdf
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The Council of Europe published the Common
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In: http://faculty.ksu.edu.sa/yousif/elt resources/primary elt/the common euroupean framework.pdf
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