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Computing phonological generalization over real speech exemplars
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In: http://www.ualberta.ca/~kirchner/kirchnermoore.pdf (2010)
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A Computational Model of Language Acquisition: the Emergence of Words
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Computing phonological generalization over real speech exemplars
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In: http://roa.rutgers.edu/files/1007-1208/1007-1208-0-0.PDF (2008)
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Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
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In: http://www.dcs.shef.ac.uk/~walker/personality_jair07.pdf (2007)
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Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
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In: http://www.jair.org/media/2349/live-2349-3561-jair.ps (2007)
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Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
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In: http://www.jair.org/media/2349/live-2349-3562-jair.pdf (2007)
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Using linguistic cues for the automatic recognition of personality in conversation and text
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In: https://www.aaai.org/Papers/JAIR/Vol30/JAIR-3012.pdf (2007)
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Using linguistic cues for the automatic recognition of personality in conversation and text
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In: http://dingo.sbs.arizona.edu/~mehl/eReprints/MairesseJAIR2007.pdf (2007)
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Capturing fine-phonetic variation in speech through automatic classification of articulatory features
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In: http://lands.let.kun.nl/literature/odettes.2006.1.pdf (2006)
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Plasticity in systems for automatic speech recognition: a review
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In: http://isca-speech.org/archive_open/archive_papers/psp_2005/psp5_109.pdf (2005)
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Proc. ISCA Workshop on 'Plasticity in Speech Perception', pp. 109-112, London, 15-17 June (2005).
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In: http://www.dcs.shef.ac.uk/~roger/publications/PSP2005_RKM-SPC.pdf (2005)
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A comparison of the data requirements of automatic speech recognition systems and human listeners
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In: http://www.dcs.shef.ac.uk/~roger/publications/Eurospeech03%20Comparison%20of%20Data%20Requirements.pdf (2003)
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Abstract:
Since the introduction of hidden Markov modelling there has been an increasing emphasis on data-driven approaches to automatic speech recognition. This derives from the fact that systems trained on substantial corpora readily outperform those that rely on more phonetic or linguistic priors. Similarly, extra training data almost always results in a reduction in word error rate- “there's no data like more data”. However, despite this progress, contemporary systems are not able to fulfill the requirements demanded by many potential applications, and performance is still significantly short of the capabilities exhibited by human listeners. For these reasons, the R&D community continues to call for even greater quantities of data in order to train their systems. This paper addresses the issue of just how much data might be required in order to bring the performance of an automatic speech recognition system up to that of a human listener. 1.
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URL: http://www.dcs.shef.ac.uk/~roger/publications/Eurospeech03%20Comparison%20of%20Data%20Requirements.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.5025
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Modelling Vocabulary Growth from Birth to Young Adulthood
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In: http://lands.let.ru.nl/acorns/documents/publications/Interspeech-2009/Moore-tenBosch-IS09.pdf
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REACTIVE SPEECH SYNTHESIS: ACTIVELY MANAGING PHONETIC CONTRAST ALONG AN H&H CONTINUUM
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In: http://www.dcs.shef.ac.uk/%7Eroger/publications/Moore%20-%20Reactive%20speech%20synthesis%20Actively%20managing%20phonetic%20contrast%20along%20an%20HandH%20continuum.pdf
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Preserving fine phonetic detail using episodic memory: Automatic Speech Recognition using MINERVA2
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In: http://www.dcs.shef.ac.uk/~roger/publications/Moore-Maier%20-%20ICPhS%202007%20-%20final.pdf
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Preserving fine phonetic detail using episodic memory: Automatic Speech Recognition using MINERVA2
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In: http://www.icphs2007.de/conference/Papers/1724/1724.pdf
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articulatory features
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In: http://lands.let.kun.nl/literature/odettes.2007.8.pdf
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Cross-language phone recognition when the target language phoneme inventory is not known
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In: http://www.dcs.shef.ac.uk/~th/publications/kempton_is11.pdf
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Hierarchical recurrent self-organising memory (H-RSOM) architecture for an emergent speech representation towards robot grounding
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In: http://lands.let.ru.nl/acorns/documents/publications/NCAF_paper_2009.pdf
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Progress and Prospects for Speech Technology: Results from Three Sexennial Surveys
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In: http://www.dcs.shef.ac.uk/%7Eroger/publications/Moore%20-%20Progress%20and%20prospects%20for%20speech%20technology%20Results%20from%20three%20sexennial%20surveys.pdf
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