A mechanism for human - Robot interaction through informal voice commands

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn 2005, Issue , 2005, Pages 184-189

  D'Mello, Sidney ^a   McCauley, Lee ^b   Markham, James ^b  

^a UNIVERSITY OF MEMPHIS   (United States)

^b University of Memphis   (United States)

Author keywords

Command and Control; Latent Semantic Analysis; Natural Language Understanding; Robots; Speech recognition

Indexed keywords

COMPUTER SIMULATION; ROBOTS; SEMANTICS; SPEECH ANALYSIS; SPEECH RECOGNITION;

COMMAND AND CONTROL; INFORMAL SPEECH; LATENT SEMANTIC ANALYSIS; NATURAL LANGUAGE UNDERSTANDING;

HUMAN COMPUTER INTERACTION;

EID: 33746586193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2005.1513777     Document Type: Conference Paper

References (21)

1. Baker, L.D. and McCallum, A.K., Distributional clustering of words for text classification, in SIGIR'98, (Melbourne, Australia, 1998), 96-103.
2. Bellegarda, J.R., Butzberger, J.W., Chow, Y.L., Coccaro, N. and Naik, D., Automatic Discovery of Word Classes Through Latent Semantic Analysis, in EUSIPCO-96 Signal Processing VIII, Theories and Applications, (1996), Edizioni Lint Trieste.
3. Bellegarda, J.R., Butzberger, J.W., Chow, Y.L., Coccaro, N. and Naik, D., A Novel Word Clustering Algorithm Based on Latent Semantic Analysis. In Proceedings of the 1996 international conference on acoustics, speech, signal processing (ICASSP-96), 172-175.
4. Breazeal, C and Aryananda, L 2002. Recognizing affective intent in robot directed speech. Autonomous Robots, 12:1, 83-104, 2002.
5. Burgess, C., Livesay, K. and Lund, K. Explorations in Context Space: Words, Sentences, Discourse. Discourse Processes, 25. 211-257.
6. CNN online news, http://www.cnn.com, 2004.
7. Deerwester, S., Dumais, S.T., Fumas, G.W., Landaur, T.K. and Harshman, R. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41. 391-407, 1990.
8. Dumais, S.T. Latent semantic indexing (LSI) and TREC-2. in Harman, D. ed. National Institute of Standards and Technology Text Retrieval Conference, NIST, 1994.
9. Gotoh, Y. and Renals, S. Topic-based mixture language modeling, in Natural Language Engineering 6, 2000.
10. Katzenmaier, M., Stiefelhagen, R., and Schultz, T., Identifying the Addressee in Human-Human-Robot Interactions based on Head Pose and Speech, In: International Conference on Multimodal Interfaces ICMI2004, State College, PA, USA, October 2004
11. Khudanpur, S. and Wu, J., A maximum entropy language model integrating n-grams and topic dependencies for conversational speech recognition, in ICASSP-99, (Phoenix, AZ, 1999), 553-556.
12. Kuhn, R. and De Mon, R. A cashe-based natural language model for speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(6). 570-583.
13. Landaur, T.K. and Dumais, S.T. A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104. 211-240.
14. McCauley, L., D'Mello, S., & Daily, S. (2005). Understanding Without Formality: augmenting speech recognition to understand informal verbal commands. Paper presented at the ACM Southeast Conference, Kennesaw, GA.
15. Mohd Hanafiah, Z., Yamazaki, C., Nakamura A., and Kuno, Y., Human-robot speech interface understanding inexplicit utterances using vision. CHI Extended Abstracts 2004: 1321-1324
16. Montemerlo, M., Pineau, J., Roy, N., Thrun, S., and Varma, V., Experiences with a mobile robotic guide for the elderly Proceedings of the International Conference on Artificial Intelligence (AAAI 2002). Edmonton, July. 2002
17. Rea, L. Designing and Conducting Survey Research. Jossey-Bass, 1997.
18. Resource.com, http://thesaurus.reference.com, 2004.
19. Siivola, V., Language modeling based on neural clustering of words. in IDIAP-Com 02, (Martigny, Switzerland, 2000).
20. Sidner, C., Kidd, C., Lee C., and Lesh, N., Where to Look: A Study of Human-Robot Engagement. In Proceedings of Intelligent User Interfaces 2004. Madeira, Island of Funchal, Portugal
21. Yoshizaki, M., Kuno, Y., and Nakamura, A, Human-Robot Interface Based on the Mutual Assistance between Speech and Vision. Proc. Workshop on Perceptive User Interfaces, CD-ROM, 2001.