Manipulating word lattices to incorporate human corrections

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 08-12-September-2016, Issue , 2016, Pages 3062-3065

  Gaur, Yashesh ^a   Metze, Florian ^a   Bigham, Jeffrey P ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Human computation; Keyword spotting; Speech recognition; Word lattices

Indexed keywords

ERRORS; SEARCH ENGINES; SPEECH COMMUNICATION; SPEECH PROCESSING;

AUTOMATIC SPEECH RECOGNITION; HUMAN COMPUTATION; KEYWORD SEARCH; KEYWORD SPOTTING; LARGE AMOUNTS OF DATA; OFFLINE; WORD ERROR RATE;

SPEECH RECOGNITION;

EID: 84994200760     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: 10.21437/Interspeech.2016-660     Document Type: Conference Paper

References (20)

1. G. Hinton, L. Deng, D. Yu, G. Dahl, A. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. Sainath, and B. Kingsbury, "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups," Signal Processing Magazine, IEEE, vol. 29, no. 6, pp. 82-97, Nov 2012.
2. M. Cettolo, J. Niehues, S. Stüker, L. Bentivogli, and M. Federico, "Report on the 10th iwslt evaluation campaign," in Proc. IWSLT, Heidelberg; Germany, 2013, http://www.eubridge.eu/87282.php.
3. J. Glass, T. J. Hazen, S. Cyphers, I. Malioutov, D. Huynh, and R. Barzilay, "Recent Progress in the MIT Spoken Lecture Processing Project," in Proc. Interspeech, 2007. [Online]. Available: http://groups.csail.mit.edu/sls/publications/2007/Interspeech07- glass-lecture.pdf
4. C. Jensema, R. McCann, and S. Ramsey, "Closed-captioned television presentation speed and vocabulary," American Annals of the deaf, vol. 141, no. 4, pp. 284-292, 1996.
5. H. Yamazaki, K. Iwano, K. Shinoda, S. Furui, and H. Yokota, "Dynamic language model adaptation using presentation slides for lecture speech recognition," in In Proc. INTERSPEECH, 2007, pp. 2349-2352.
6. C. Munteanu, G. Penn, and R. Baecker, "Web-based language modelling for automatic lecture transcription," in Proc. INTERSPEECH, 2007.
7. J. Ogata, M. Goto, and K. Eto, "Automatic transcription for a web 2.0 service to search podcasts," in INTERSPEECH 2007, 8th Annual Conference of the International Speech Communication Association, Antwerp, Belgium, August 27-31, 2007, 2007, pp. 2617-2620.
8. G. Parent and M. Eskenazi, "Toward better crowdsourced transcription: Transcription of a year of the let?s go bus information system data," in Spoken Language Technology Workshop (SLT), 2010 IEEE. IEEE, 2010, pp. 312-317.
9. M. Marge, S. Banerjee, and A. I. Rudnicky, "Using the amazon mechanical turk for transcription of spoken language," in Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on. IEEE, 2010, pp. 5270-5273.
10. S. Novotney and C. Callison-Burch, "Cheap, fast and good enough: Automatic speech recognition with non-expert transcription," in Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Los Angeles, California: Association for Computational Linguistics, June 2010, pp. 207-215. [Online]. Available: http://www.aclweb.org/anthology/N10-1024
11. H. Kolkhorst, K. Kilgour, S. Stüker, and A. Waibel, "Evaluation of interactive user corrections for lecture transcription," in 2012 International Workshop on Spoken Language Translation, IWSLT 2012, Hong Kong, December 6-7, 2012, 2012, pp. 217-221.
12. W. Lasecki, C. Miller, A. Sadilek, A. Abumoussa, D. Borrello, R. S. Kushalnagar, and J. Bigham, "Real-time captioning by groups of non-experts," in Proceedings of the 25th annual ACM symposium on User interface software and technology - UIST ?12. New York, New York, USA: ACM Press, Oct. 2012, pp. 23-34. [Online]. Available: http://dl.acm.org/citation.cfm?doid=2380116.2380122
13. Y. Gaur, F. Metze, Y. Miao, and J. P. Bigham, "Using keyword spotting to help humans correct captioning faster," in Sixteenth Annual Conference of the International Speech Communication Association, 2015.
14. J. Trmal, G. Chen, D. Povey, S. Khudanpur, P. Ghahremani, X. Zhang, V. Manohar, C. Liu, A. Jansen, D. Klakow, D. Yarowsky, and F. Metze, "A keyword search system using open source software," in Proc. IEEE Workshop on Spoken Language Technology. South Lake Tahoe, NV; USA: IEEE, Dec. 2014, to appear.
15. A. Rousseau, P. Deléglise, and Y. Estève, "Ted-lium: an automatic speech recognition dedicated corpus." in LREC, 2012, pp. 125- 129.
16. D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, "The kaldi speech recognition toolkit," in IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. IEEE Signal Processing Society, Dec. 2011.
17. Y. Miao, "Kaldi+pdnn: Building dnn-based ASR systems with kaldi and PDNN," CoRR, vol. abs/1401.6984, 2014. [Online]. Available: http://arxiv.org/abs/1401.6984
18. Y. Miao, M. Gowayyed, and F. Metze, "EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding," in Proc. Automatic Speech Recognition and Understanding Workshop (ASRU). Scottsdale, AZ; U.S.A.: IEEE, Dec. 2015, https://github.com/srvk/eesen.
19. W. Williams, N. Prasad, D. Mrva, T. Ash, and T. Robinson, "Scaling recurrent neural network language models," in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on. Brisbane; Australia: IEEE, May 2015.
20. A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, "Connectionist temporal classification: labelling unsegmented seq uence data with recurrent neural networks," in Proceedings of the 23rd international conference on Machine Learning. ACM, 2006, pp. 369-376.