Bridging the gap between speech technology and natural language processing: An evaluation toolbox for term discovery systems

Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Volumn , Issue , 2014, Pages 560-567

  Ludusan, Bogdan ^a   Versteegh, Maarten ^a   Jansen, Aren ^b   Gravier, Guillaume ^c   Cao, Xuan Nga ^a   Johnson, Mark ^d   Dupoux, Emmanuel ^a  

^a PSL RESEARCH UNIVERSITY   (France)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c CAMPUS DE BEAULIEU   (France)

^d MACQUARIE UNIVERSITY   (Australia)

Author keywords

Evaluation; Spoken term discovery; Word segmentation

Indexed keywords

LINGUISTICS; QUALITY CONTROL; SPEECH; TRANSCRIPTION;

ACOUSTIC MATCHING; AUTOMATIC SPEECH RECOGNIZERS; EVALUATION; EVALUATION METRICS; PHONEME TRANSCRIPTION; SPOKEN TERM DISCOVERY; SYMBOLIC REPRESENTATION; WORD SEGMENTATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85020779259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. E. Amigo, J. Gonzalo, J. Artiles, and F. Verdejo. 2009. A comparison of extrinsic clustering evaluation metrics based on formal constraints. Information retrieval, 12(4):461-486.
2. N. Bernstein-Ratner. 1987. The phonology of parent-child speech. In K. Nelson and A. van Kleeck, editors, Children's Language, Volume 6, pages 159-174. Erlbaum.
3. M. Brent and T. Cartwright. 1996. Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61:93-125.
4. M. Brent. 1999. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34:71-105.
5. L. Catanese, N. Souviraà-Labastie, B. Qu, S. Campion, G. Gravier, E. Vincent, and F. Bimbot. 2013. MODIS: an audio motif discovery software. In Proc. of INTERSPEECH 2013, pages 2675-2677.
6. R. Daland and J. Pierrehumbert. 2011. Learning diphone based segmentation. Cognitive Science, 35(1):119-155.
7. R. Daland and K. Zuraw. 2013. Does korean defeat phono-tactic word segmentation? In Proceedings of the 51th Annual Meeting of the ACL, pages 873-877.
8. M. Dredze, A. Jansen, G. Coppersmith, and K. Church. 2010. NLP on spoken documents without ASR. In Proc. of EMNLP 2010, pages 460-470.
9. M. Elsner, S. Goldwater, and J. Eisenstein. 2012. Bootstrapping a unified model of lexical and phonetic acquisition. In Proceedings of the 50th Annual Meeting of the ACL, pages 184-193.
10. R. Flamary, X. Anguera, and N. Oliver. 2011. Spoken WordCloud: Clustering recurrent patterns in speech. In Proc. of Int. Workshop on Content-Based Multimedia Index, pages 133-138.
11. A. Fourtassi, B. Börschinger, M. Johnson, and E. Dupoux. 2013. Whyisenglishsoeasytosegment? In Proc. of CMCL 2013.
12. J. Glass. 2012. Towards unsupervised speech processing. In Proceedings of International Conference on Information Science, Signal Processing and their Applications 2012, pages 1-4.
13. S. Goldwater, T. Griffiths, and M. Johnson. 2009. A bayesian framework for word segmentation: Exploring the effects of context. Cognition, 112(1):21-54.
14. C. Herley. 2006. ARGOS: Automatically extracting repeating objects from multimedia streams. IEEE Transactions on Multimedia, 8(1):115-129.
15. A. Jansen and B. Van Durme. 2011. Efficient spoken term discovery using randomized algorithms. In Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on, pages 401-406.
16. A. Jansen, E. Dupoux, S. Goldwater, M. Johnson, S. Khudanpur, K. Church, N. Feldman, H. Hermansky, F. Metze, R. Rose, M. Seltzer, P. Clark, I. McGraw, B. Varadarajan, E. Bennett, B. Borschinger, J. Chiu, E. Dunbar, A. Fourtassi, D. Harwath, C. Lee, K. Levin, A. Norouzian, V. Peddinti, R. Richardson, T. Schatz, and S. Thomas. 2013. A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. In Proceedings of ICASSP 2013, pages 8111-8115.
17. M. Johnson and S. Goldwater. 2009. Improving nonparam-eteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars. In Proceedings HLT - NAACL 2009, pages 317-325.
18. M. Johnson, T. Griffiths, and S. Goldwater. 2007. Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 641-648. MIT Press.
19. C. Lee and J. Glass. 2012. A nonparametric bayesian approach to acoustic model discovery. In Proceedings of the 50th Annual Meeting of the ACL, pages 40-49.
20. I. Malioutov, A. Park, R. Barzilay, and J. Glass. 2007. Making sense of sound: Unsupervised topic segmentation over acoustic input. In Proc. of ACL 2007, pages 504-511.
21. F. McInnes and S. Goldwater. 2011. Unsupervised extraction of recurring words from infant-directed speech. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society.
22. A. Muscariello, G. Gravier, and F. Bimbot. 2011. Zeroresource audio-only spoken term detection based on a combination of template matching techniques. In Proc. of INTERSPEECH 2011, pages 921-924.
23. A. Muscariello, G. Gravier, and F. Bimbot. 2012. Unsu-pervised motif acquisition in speech via seeded discovery and template matching combination. IEEE Transactions on Audio, Speech, and Language Processing, 20(7):2031-2044.
24. G. Neubig, M. Mimura, S. Mori, and T. Kawahara. 2010. Learning a language model from continuous speech. In Proc. of INTERSPEECH-2010, pages 1053-1056.
25. A. Park and R. Glass. 2008. Unsupervised pattern discovery in speech. IEEE Transactions on Audio, Speech, and Language Processing, 16(1):186-197.
26. M. Pitt, L. Dilley, K. Johnson, S. Kiesling, W. Raymond, E. Hume, and E. Fosler-Lussier. 2007. Buckeye corpus of conversational speech (2nd release). [www.buckeyecorpus.osu.edu]. Columbus, OH: Department of Psychology, Ohio State University (Distributor).
27. M. Tekieli and W. Cullinan. 1979. The perception of temporally segmented vowels and consonant-vowel syllables. Journal of Speech, Language and Hearing Research, 22(1):103-121.