ACORNS - Towards computational modeling of communication and recognition skills

Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007

Volumn , Issue , 2007, Pages 349-356

  Boves, Lou ^a   Bosch, Louis Ten ^a   Moore, Roger ^b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BASIC CONCEPTS; COGNITIVE INFORMATICS; COMPUTATIONAL MODELLING; FUTURE AND EMERGING TECHNOLOGIES; INTERNATIONAL CONFERENCES; LANGUAGE LEARNING; LINGUISTIC UNITS; PROCESSING ARCHITECTURES; SENSORY INFORMATION PROCESSING; STATISTICAL PATTERN RECOGNITION;

FEATURE EXTRACTION; FORECASTING; INDUSTRIAL RESEARCH; LINGUISTICS; PATTERN RECOGNITION; PROJECT MANAGEMENT; RESEARCH; SIGNAL FILTERING AND PREDICTION;

DATA STORAGE EQUIPMENT;

EID: 48049114174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2007.4341909     Document Type: Conference Paper

References (46)

1. Baddeley, A.D. (1986) Working Memory Clarendon Press, Oxford.
2. Bellegarda, J. R. (2000) Exploiting Latent Semantic Information for Statistical Language Modeling. Proc. IEEE, Vol. 88: 1279-1296..
3. Boves, L. & den Os, E. (1999) Applications of Speech Technology: Designing for Usability. Proc.IEEE Workshop on Automatic Speech Recognition and Understanding, Keystone, Co, 11-15.
4. Cooke, M. and Ellis, D. P.W. (2001). The auditory organization of speech and other sources in listeners and computational models, Speech Communication 35 (2001), pp. 141-177
5. Deerwester, S., Dumais, S. T., Furnas G. W., Landauer, T. K. & Harshman, R. (1990). 'Indexing by latent semantic analysis.' Journal of the American Society for Information Science 41, 391-407.
6. den Os, E.A., Boves, L., Rossignol, S., ten Bosch, L. and Vuurpijl, L. (2005) Conversational Agent or Direct Manipulation in Human-System Interaction. Speech Communication, 47: 194-207.
7. Ernestus, M., Baayen, R.H. & Schreuder, R.. (2002). The recognition of reduced word forms. Brain and Language 81,162-173.
8. Feldman, J. (2006) From Molecule to Metaphor: A Neural Theory of Language, Cambridge, Mass: MIT Press.
9. Gerken, L., and Aslin, R.N. (2005) Thirty years of research in infant speech perception: the legacy of Peter Jusczyk. Language Learning and Development, 1:5-21.
10. Goldinger, S. D. (1996) Words and voices: episodic traces in spoken word identification and recognition memory, J Exp Psychol Learn Mem Cogn, 22(5): 1166-1183.
11. Goldinger, S.D. (1998). Echoes of echoes? An episodic theory of lexical access. Psychological Review 105: 251-279
12. Gopnik A, Meltzoff A N, and Kuhl P K. (2001) The Scientist in the Crib, New York: William Morrow Co.
13. Hawkins, J. (2004) On Intelligence. New York: Times Books.
14. Hermansky, H. (1996) Auditory modeling in automatic recognition of speech. ESCA Workshop on the Auditory basis of speech perception, Keele University (UK), 15-19 July, 1996.
15. Hintzman, D. L.(1986) Schema-abstraction in a multiple-trace memory model, Psychological Review, 93: 411-427.
16. Johnson, S. (2002) Emergence. New York: Scribner.
17. Jones, D.M., Hughes, R.W. and Macken, W.J. (2006) Perceptual organization masquerading as phonological storage: Further support for a perceptual-gestural view of short-term memory, J. Memory and Language 54, 265 281.
18. Jusczyk, P.W. (1999) How infants begin to extract words from speech. TRENDS in Cognitive Science, 3: 323 328.
19. Kuhl, P.K. (2004) Early language acquisition: cracking the speech code. Nat. Rev. Neuroscience, 5: 831-843.
20. Kuhl, P.K. et al. (2003) Foreign-language experience in infancy: effects of short-term exposure and social interaction on phonetic learning. Proc. National Academy of Science U.S.A., 100: 9096-9101.
21. Lee, C.-H. (2004) From Knowledge-Ignorant to Knowledge-Rich Modeling: A New Speech Re-search Paradigm for Next Generation Automatic Speech Recognition. Proc. ICSLP.
22. Lippmann, R. (1997) Speech Recognition by Human and Machines. Speech Communication, 22: 1-14.
23. Maloof, M.A., Michalski, R.S. (2004). Incremental learning with partial instance memory. Artificial intelligence 154, 95-126.
24. Maslow, A. (1954) Motivation and Personality New York: Harper & Row.
25. Moore, E. and Clements, M. (2004), Algorithm for automatic glottal waveform estimation without the reliance on precise glottal closure information, Proc. ICASSP 2004, May 14-17, Montreal, Canada
26. Moore R K. (2003) A comparison of the data requirements of automatic speech recognition systems and human listeners, Proc. EUROSPEECH'03, Geneva, pp. 2582-2584, 1-4.
27. Moore R K and Cunningham S P. (2005) Plasticity in systems for automatic speech recognition: a review, Proc. ISCA Workshop on 'Plasticity in Speech Perception, pp. 109-112, London, 15-17 June (2005).
28. Moore, R.K. (2007) Spoken Language Processing: Piecing Together the Puzzle. Accepted for Speech Communication.
29. Moore R K, Russell M J, Nowell P, Downey S N and Browning S R. (1994) A comparison of phoneme decision tree (PDT) and context adaptive phone (CAP) based approaches to vo-cabulary-independent speech recognition', Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Adelaide.
30. Newport, Newport, E., Aslin, R. (2004). Learning at a distance: I. Statistical learning of non-adjacent dependencies. Cognitive Psychology, 48, 127-162.
31. Pfeifer, R. and Scheier, C. (1999) Understanding Intelligence. Cambridge, Mass.: MIT Press.
32. Ostendorf, M (1999) Moving beyond the 'beads-on-a-string' model of speech, in Proc. IEEE ASRU-99, Keystone, Colorado, USA. Dec 12-15.
33. Pelayo, F.L., Núñez, M., López, N. (2005). Specifying the Memorization Process with STOPA. Proceedings ICCI 2005.
34. Rizzolatti, G. & Arbib, M. A. (1998) Language within our grasp, Trends in Neuroscience 21, 188-194.
35. Roy, D.K. & Pentland, A.P. (2002) Learning words from sights and sounds: a computational model. Cognitive Science, 26: 113-146.
36. Sarma, A. and van der Hoek, A. (2004) A Needs Hierarchy for Teams. ISR Technical Report: UCI-ISR-04-9.
37. Shannon, C.E. & Weaver, W. (1949) The mathematical theory of communication. Urbana, II.: University of Illinois Press.
38. Shalizi, C. R. and Crutchfield, J. P. (2000) Pattern Discovery and Computational Mechanics, Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2K).
39. Snow, C. and Ferguson, C. (1977). Talking to children: language input and acquisition. Cambridge, New York: Cambridge University Press.
40. Sroka, J. J. and Braida, L. D. (2005) Human and machine consonant recognition, Speech Communication: 44, 401-423.
41. Swingley, D. (2005) Statistical clustering and the contents of the infant vocabulary. Cognitive Psychology, 50: 86-132.
42. Thórisson, K. (2002) Natural turn-taking needs no manual: Computational theory and model from perception to action. In: B. Granström, D. House & I. Karlsson (Eds.) Multimodality in Language and speech systems. Dordrecht: Kluwer Academic, pp. 173-207.
43. Wang, Y. (2003) Cognitive Informatics: A new transdiciplinary research field. Brain and Mind, 4: 115-127.
44. Werker, J.F. and Curtis, S. (2005) PRIMIR: a developmental framework for of infant speech processing. Language Learning and Development, 1: 197-234.
45. Werker, J.F. and Yeung, H.H. (2005) Infant speech perception bootstraps word learning. TRENDS in Cognitive Science, 9: 519-527.
46. Wesker, T., Meyer, B., Wagener, K., Anemueller, J., Mertins, A. and Kollmeier, B. (2005) Oldenburg logatome speech corpus (olio) for speech recognition experiments with humans and machines. Proc. of Interspeech, Lisboa.