Language independent query-by-example spoken term detection using N-best phone sequences and partial matching

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 5191-5195

  Xu, Haihua ^a   Yang, Peng ^b   Xiao, Xiong ^a   Xie, Lei ^b   Leung, Cheung Chi ^d   Chen, Hongjie ^b   Yu, Jia ^b   Lv, Hang ^b   Wang, Lei ^d   Leow, Su Jun ^a   Ma, Bin ^d   Chng, Eng Siong ^a,c   Li, Haizhou ^a,c,d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

keyword search; partial matching; phone tokenizer; queryby example; spoken term detection

Indexed keywords

SEARCH ENGINES; SPEECH COMMUNICATION; TELEPHONE SETS;

KEYWORD SEARCH; PARTIAL MATCHING; QUERY-BY EXAMPLE; SPOKEN TERM DETECTIONS; TOKENIZER;

AUDIO SIGNAL PROCESSING;

EID: 84946024082     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178961     Document Type: Conference Paper

References (32)

1. D. R. H. Miller, M. Kleber, C. Kao, O. Kimball, T. Colthurst, S. A Lowe, R. M Schwartz, and H. Gish, "Rapid and accurate spoken term detection," in Proceedings of INTERSPEECH, 2007.
2. N. F. Chen and J. G. Fiscus, "Overview of the NIST open keyword search 2013 evaluation workshop," in SLTC Newsletters. IEEE, 2013.
3. Intelligence Advanced Research Projects Activity (IARPA), "Babel program," in http://www.iarpa.gov/index.php/researchprograms/ babel.
4. NIST, "OpenKWS keyword search evaluation plan," in http://nist.gov/itl/iad/mig/upload/KWS14-evalplan-v11.pdf.
5. N. Chen et al., "Strategies for Vietnamese keyword search," in ICASSP, 2014.
6. N. Chen et al., "Low-resource keyword search strategies for Tamil," in ICASSP, 2015.
7. X. Anguera, L. J. Rodriguez-Fuentes, I. Szöke, A. Buzo, and F. Metze, "Query-by-example search on speech at Mediaeval," in Working Notes Proceedings of the Mediaeval 2014 Workshop, Barcelona, Spain, Oct. 16-17.
8. J. Tejedor, M. Fapsǒ I. Szöke J. H. Cěrnocký, and F. Grézl, "Comparison of methods for language-dependent and language-independent query-by-example spoken term detection," ACM Transactions on Information Systems, 2012.
9. V. Gupta, J. Ajmera, A. Kumar, and A. Verma, "A language independent approach to audio search," in Proc. INTERSPEECH, 2011.
10. H.Wang, T. Lee, C.-C. Leung, B. Ma, and H. Li, "Using parallel tokenizers with DTW matrix combination for low-resource spoken term detection," in Proc. ICASSP, 2013.
11. X. Anguera, "Information retrieval-based dynamic time warping," in Proc. INTERSPEECH, 2013.
12. L. J. Rodriguez-Fuentes, A. Varona, M. Penagarikano, G. Bordel, and M. Diez, "High-performance query-by-example spoken term detection on the SWS 2013 evaluation," in Proc. ICASSP, 2014.
13. G. Mantena and K. Prahallad, "Use of articulatory bottle-neck features for query-by-example spoken term detection in low resource scenarios," in Proc. ICASSP, 2014.
14. B. George and B. Yegnanarayana, "Unsupervised query-byexample spoken term detection using segment-based bag of acoustic words," in Proc. ICASSP, 2014.
15. P. Yang, C. Leung, L. Xie, B. Ma, and H. Li, "Intrinsic spectral analysis based on temporal context feature for query by example spoken term detection," in Proc. INTERSPEECH, 2014.
16. H. Wang, T. Lee, C.-C. Leung, B. Ma, and H. Li, "Acoustic segment modeling with spectral clustering methods," IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 2, pp. 264-277, 2015.
17. Y. Zhang and J. R. Glass, "A piecewise aggregate approximation lower-bound estimate for posteriorgram-based dynamic time warping," in Proc. INTERSPEECH, 2011.
18. Y. Zhang and J. R. Glass, "An inner-product lower-bound estimate for dynamic time warping," in Proc. ICASSP, 2011.
19. X. Anguera and M. Ferrarons, "Memory efficient subsequence DTW for query-by-example spoken term detection," in Proc. ICME, 2013.
20. G. Mantena and X. Anguera, "Speed improvements to information retrieval-based dynamic time warping using hierarchical k-means clustering," in Proc. ICASSP, 2014.
21. P. Yang, L. Xie, Q. Luan, andW. Feng, "A tighter lower-bound estimate for dynamic time warping," in Proc. ICASSP, 2013.
22. D. Can and M. Saraclar, "Lattice indexing for spoken term detection," Audio, Speech,and Language Processing, IEEE Transactions on, pp. 2338-2347, 2011.
23. X. Anguera, L. J. Rodriguez-Fuentes, I. Szöke, A. Buzo, F. Metze, and M. Penagarikano, "Query-by-example spoken term detection on multilingual unconstrained speech," in Proc. INTERSPEECH, 2014.
24. L. J. Rodriguez-Fuentes and M. Penagarikano, "MediaEval 2013 spoken web search task: system performance measures," in Technical Report TR-2013-1, http://gtts.ehu.es/gtts/NT/fulltext/rodriguezmediaeval13.pdf.
25. X. Anguera, L. Javier, I. Szöke, A. Buzo, and F. Metze, "Query by example search on speech at mediaeval 2014," in Proc. MediaEval 2014 Workshop, 2014.
26. Schwarz et al., "Hierarchical structures of neural networks for phoneme recognition," in Proc. ICASSP, 2006.
27. T. Chong, X. Xiao, H. Xu, T. Tan, C. Pham, D. Ly, E. Chng, and H. Li, "The development and analysis of a Malay broadcast news corpus," in Proc. O-COCOSDA, 2013.
28. H. Xu, V. T. Pham, E. S. Chng, and H. Li, "Towards better keyword search performance on Malay broadcast news data," in Proc. APSIPA, 2014.
29. G. Chen, O. Yilmaz, J. Trmal, D. Povey, and S. Khudanpur, "Using proxies for OOV keywords in the keyword search task," in Proc. of ASRU, 2013.
30. D. Povey, A. Ghoshal, G.Boulianne, L. Burget, O.Glembek, N. Goel, M. Hannermann, P. Motlíček, Y. Qian, P. Schwartz, J. Silovský, G. Stemmer, and K. Veselý, "The Kaldi speech recognition toolkit," in ASRU. IEEE, 2011.
31. P. Yang et al., "The NNI Query-by-Example system for MediaEval 2014," in Working Notes Proceedings of the Mediaeval 2014 Workshop, Barcelona, Spain, Oct. 16-17.
32. N. Brummer, "Focal toolkit," available online: https://sites.google.com/site/nikobrummer/focal.