Lexico-prosodic anomalies in dialog

Proceedings of the International Conference on Speech Prosody

Volumn , Issue , 2010, Pages

  Ward, Nigel G ^a   Vega, Alejandro ^a   Novick, David G ^a  

^a 500 W University Avenue   (United States)

Author keywords

Dominance; Language model; Predictions; Prosody; Unlikely; Unpredictable

Indexed keywords

DOMINANCE; LANGUAGE MODEL; PROSODICS; PROSODY; SPEECH PATTERNS; TELEPHONE DIALOGUES; UNLIKELY; UNPREDICTABLE;

TELEPHONE SWITCHBOARDS;

EID: 80055086321     PISSN: 23332042     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. V. A. Fromkin, “The non-anomalous nature of anomalous utterances,” Language, vol. 47, pp. 27-52, 1971.
2. J. M. Brenier and L. A. Michaelis, “Optimization via syntactic amalgam: Syntax-prosody mismatch and copula doubling,” Corpus Linguistics and Linguistic Theory, vol. 1, pp. 45-88, 2005.
3. J. Gratch, A. Okhmatovskaia, F. Lamothe, S. Marsella, M. Morales, R. van der Werf, and L.-P. Morency, “Virtual rapport,” in 6th International Conference on Intelligent Virtual Agents, pp. 14-27, 2006.
4. L. W. Barsalou, C. Breazeal, and L. B. Smith, “Cognition as coordinated non-cognition,” Cognitive Processing, vol. 8, pp. 79-91, 2007.
5. E. Jahr and S. Eldevik, “Response variability and turn taking in cooperative play,” Journal of Speech and Language Pathology, vol. 2, pp. 190-194, 2007.
6. J. Streek and J. S. Jordan, “Projection and anticipation: The forward-looking nature of embodied communication,” Discourse Processes, vol. 46, pp. 93-102, 2009.
7. N. G. Ward and B. H. Walker, “Estimating the potential of signal and interlocutor-track information for language modeling,” in Interspeech, pp. 160-163, 2009.
8. E. Shriberg and A. Stolcke, “Prosody modeling for automatic speech recognition and understanding,” in Mathematical Foundations of Speech and Language Processing, IMA Volumes in Mathematics and Its Applications, Vol. 138, pp. 105-114, Springer-Verlag, 2004.
9. K. Chen, M. Hasegawa-Johnson, and J. Cole, “A factored language model for prosody-dependent speech recognition,” in Robust Speech Recognition and Understanding (M. Grimm and K. Kroschel, eds.), pp. 319-332, I-Tech, 2007.
10. S. Huang and S. Renals, “Modeling prosodic features in language models for meetings,” in Machine Learning for Multimodal Interaction IV (LNCS 4892) (A. Popescu-Belis, S. Renals, and H. Bourlard, eds.), pp. 191-202, Springer, 2007.
11. S. Ananthakrishnan and S. Narayanan, “Improved speech recognition using acoustic and lexical correlates of pitch accent in a n-best rescoring framework,” in ICASSP, pp. 873-876, 2007.
12. R. J. Lickley and E. G. Bard, “On not recognizing disfluencies in dialogue,” in Interspeech, pp. 1876-1879, 1996.
13. N. G. Ward and A. Vega, “Modeling the effects on time-into-utterance on word probabilities,” in Interspeech, pp. 1606-1609, 2008.
14. N. G. Ward and A. Vega, “Towards the use of inferred cognitive states in language modeling,” in 11th IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 323-326, 2009.
15. N. G. Ward and A. Vega, “Using non-lexical context to improve a language model for dialog,” Speech Communication, 2010. submitted.
16. J. J. Godfrey, E. C. Holliman, and J. McDaniel, “Switchboard: Telephone speech corpus for research and development,” in Proceedings of ICASSP, pp. 517-520, 1992.
17. ISIP, “Manually corrected Switchboard word alignments.” Mississippi State University. Retrieved 2007 from http://www.ece.msstate.edu/research/isip/projects/switchboard/, 2003.
18. D. B. Jayagopi, H. Hung, C. Yeo, and D. Gatica-Perez, “Modeling dominance in group conversations from non-verbal activity cues,” IEEE Transactions on Audio, Speech and Language Processing, vol. 17, pp. 501-517, 2009.
19. B. Wrede and E. Shriberg, “Spotting 'hot spots' in meetings: Human judgments and prosodic cues,” in Eurospeech, pp. 2805-2808, 2003.