Abstract
This paper describes the use of speech alignment to aid in the process of subtitling Dutch TV programs. The recognizer aligns the audio stream with an existing transcript. The goal is therefore not to transcribe but to generate the correct timing of every word. The system performs subtasks such as audio segmentation, transcript preprocessing, alignment and subtitle compression. The result is not perfect but good enough to gain efficiency when used by a professional subtitler as a starting point to refine and finalize the subtitles. In our tests, considerable time savings of 47 to 53% on average are obtained, such that the generation of subtitles for a 1 hour program, is lowered from between 4 and 7 hours to between 2.5 and 4 hours. This is all the more important in the context of an increased pressure from user groups on governments and broadcasters to reach 100% subtitled TV programs.
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References
Meinedo, H., Viveiros, M., da Silva Neto, J.P.: Evaluation of a Live Broadcast News Subtitling System for Portuguese. In: Proc. Interspeech 2008, Brisbane, Australia, pp. 508–511 (September 2008)
Homma, S., Kobayashi, A., Oku, T., Sato, S., Imai, T., Takagi, T.: New Real-Time Closed-Captioning System for Japanese Broadcast News Programs. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 651–654. Springer, Heidelberg (2008)
Vandecatseye, A., Martens, J.-P.: A Fast, Accurate and Stream-Based Speaker Segmentation and Clustering Algorithm. In: Proceedings of the 8th European Conference on Speech Communication and Technology, Eurospeech 2003, Geneva, Switzerland, vol. 2, pp. 941–944 (September 2003)
Demuynck, K., Roelens, J., Van Compernolle, D., Wambacq, P.: SPRAAK: An Open Source SPeech Recognition and Automatic Annotation Kit. In: Proc. Interspeech 2008, Brisbane, Australia, p. 495 (September 2008)
Demuynck, K., Puurula, A., Van Compernolle, D., Wambacq, P.: The ESAT 2008 System for N-Best Dutch Speech Recognition Benchmark. In: Proc. IEEE ASRU Workshop, Merano, Italy, pp. 339–343 (December 2009)
Demuynck, K., Laureys, T., Wambacq, P., Van Compernolle, D.: Automatic phonemic labeling and segmentation of spoken Dutch. In: Proc. LREC-2004, Lisbon, Portugal, pp. 61–64 (May 2004)
Mertens, P., Vercammen, F.: ”FONILEX manual”, K.U.Leuven – CCL Technical report (1998), http://bach.arts.kuleuven.be/fonilex
Daelemans, W., Höthker, A., Tjong Kim Sang, E.: Automatic sentence simplification for subtitling in Dutch and English. In: Proc. LREC 2004, Lisbon, Portugal, pp. 1045–1048 ( May 2004)
Boersma, P., Weenink, D.: Praat: doing phonetics by computer (Version 5.1.05) (Computer program), from http://www.praat.org/ (retrieved May 1, 2009)
Wambacq, P., Vanroose, P., Yang, X., Duchateau, J., Van Uytsel, D.H.: Speech Recognition for Subtitling Purposes. In: Proc. 5th Intl. Conf. Languages & The Media, Berlin, Germany, p. 46 (November 2004) (Abstract)
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Wambacq, P., Demuynck, K. (2011). Efficiency of Speech Alignment for Semi-automated Subtitling in Dutch. In: Habernal, I., Matoušek, V. (eds) Text, Speech and Dialogue. TSD 2011. Lecture Notes in Computer Science(), vol 6836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23538-2_16
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DOI: https://doi.org/10.1007/978-3-642-23538-2_16
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