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1
Speech-Centric Information Processing: An Optimization-Oriented Approach
In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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2
Imperatives, Discourse Markers, and Grammaticalization É vida, olha…: Imperatives as Discourse Markers and Grammaticalization Paths in Romance
In: http://hal.inria.fr/docs/00/63/72/32/PDF/Fagard_Languages_in_Contrast-Revised_version.pdf (2011)
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3
Semantic understanding by combining extended cfg parser with hmm model,” Submitted to These Proceedings
In: http://groups.csail.mit.edu/sls/publications/2010/Xu_SLT_2010.pdf (2010)
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4
Speech to sign language translation system for Spanish
In: http://lorien.die.upm.es/~lfdharo/Papers/Speech2SignLanguage_SpeechCom2008.pdf (2008)
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5
Sentence Segmentation and Punctuation Recovery for Spoken Language Translation
In: http://csl.ira.uka.de/fileadmin/media/publication_files/PaulikSchultz-ICASSP2008.pdf (2008)
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6
Statistical and computational models of the visual world paradigm: Growth curves and individual differences
In: http://magnuson.psy.uconn.edu/pdfs/MirmanDixonMagnusonJML2008.pdf (2008)
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7
Automatic Decision Detection in Meeting Speech
In: http://www.iccs.informatics.ed.ac.uk/~jmoore/papers/mlmi07.pdf (2007)
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8
Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
In: http://lia.univ-avignon.fr/fileadmin/documents/Users/Intranet/chercheurs/bechet/publifred/FB_2006_INTERSPEECH_1.pdf (2006)
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9
Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
In: http://www-lium.univ-lemans.fr/%7Eservan/publications/Servan_Interspeech2006.pdf (2006)
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10
Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA
In: http://www.ist-luna.eu/pdf/IS061416.pdf (2006)
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11
Confidence Estimation for NLP Applications
In: http://iit-iti.nrc-cnrc.gc.ca/iit-publications-iti/docs/NRC-48755.pdf (2006)
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12
The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
In: http://www.mrc-cbu.cam.ac.uk/personal/matt.davis/pubs/rodd_davis_johnsrude.cerebral_cortex2005.pdf (2005)
Abstract: A number of regions of the temporal and frontal lobes are known to be important for spoken language comprehension, yet we do not have a clear understanding of their functional role(s). In particular, there is considerable disagreement about which brain regions are involved in the semantic aspects of comprehension. Two functional magnetic resonance studies use the phenomenon of semantic ambiguity to identify regions within the fronto-temporal language network that subserve the semantic aspects of spoken language comprehension. Volunteers heard sentences containing ambiguous words (e.g. ‘the shell was fired towards the tank’) and wellmatched low-ambiguity sentences (e.g. ‘her secrets were written in her diary’). Although these sentences have similar acoustic, phonological, syntactic and prosodic properties (and were rated as being equally natural), the high-ambiguity sentences require additional processing by those brain regions involved in activating and selecting contextually appropriate word meanings. The ambiguity in these sentences goes largely unnoticed, and yet highambiguity sentences produced increased signal in left posterior inferior temporal cortex and inferior frontal gyri bilaterally. Given the ubiquity of semantic ambiguity, we conclude that these brain regions form an important part of the network that is involved in computing the meaning of spoken sentences.
Keyword: frontal cortex; semantics; sentences; spoken language; temporal
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.7252
http://www.mrc-cbu.cam.ac.uk/personal/matt.davis/pubs/rodd_davis_johnsrude.cerebral_cortex2005.pdf
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13
The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
In: http://cercor.oxfordjournals.org/content/15/8/1261.full.pdf (2005)
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14
The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity
In: http://cercor.oxfordjournals.org/content/early/2005/01/05/cercor.bhi009.full.pdf (2005)
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15
Discriminative and maximum likelihood classifiers for computer-based visual feedback for speech training for the hearing impaired
In: http://www.ws.binghamton.edu/zahorian/pdf/Discriminative and Maximum Likelihood Classifiers for Computer-Based Visual Feedback for Speech Training.pdf (2000)
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16
Detecting Acoustic Morphemes in Lattices for Spoken Language Understanding
In: http://www.research.att.com/~algor/hmihy/papers/gorin684.ps (2000)
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17
Speaking in shorthand -- A syllable-centric perspective for understanding . . .
In: http://www.icsi.berkeley.edu/~steveng/PDF/SpeakingInShorthandMIME.pdf (1999)
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18
Dealing With Multilinguality In A Spoken Language Query Translator
In: http://www.ee.ust.hk/~pascale/slt97camera.ps (1997)
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19
A Survey on Chinese Speech Recognition
In: ftp://ftp.iscs.nus.sg/pub/commcolips/p96001.ps (1996)
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20
WHAT MAKES SPEECH STICK?
In: http://www.icphs2007.de/conference/Papers/1760/1760.pdf (1760)
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