Abstract
Phonemes and allophones are the basic speech units for acoustic modeling in the majority of contemporary HMM based speech recognizers. Grapheme-based acoustic sub-word units were applied to multi-lingual and cross-lingual acoustic modeling in many tasks. Grapheme and phoneme based mono-, cross- and bilingual speech recognition of Czech and Slovak in the small and medium vocabulary task has been studied in our previous work. In this article we compare grapheme and phoneme based approach to acoustic modeling and model unit selection in large vocabulary continuous speech recognition (LVCSR) task in Slovak. The main goal of our experimental work is to investigate a possibility to select an optimal set of sub-word units for Slovak LVCSR system.
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References
Schukat-Talamazzini, E.G., Niemann, H., Eckert, W., Kuhn, T., Rieck, S.: Automatic speech recognition without phonemes. In: Proceeding of the Eurospeech, Berlin, September 22-25, pp. 129–132 (1993)
Magimai-Doss, M., Stephenson, T.A., Bourlard, H., Bengio, S.: Phoneme-grapheme based speech recognition system. In: Proceedings of 2003 IEEE Workshop on Automatic Speech Recognition and Understanding, St. Thomas, U.S. Virgin Islands, November 30 - December 4, pp. 94–98 (2003)
Magimai-Doss, M., Bengio, S., Bourlard, H.: Joint decoding for phoneme-grapheme continuous speech recognition. In: Proceedings of ICASSP, Quebec, Kanada, May 17-21, pp. 177–180 (2004)
Kanthak, S., Ney, H.: Multilingual acoustic modeling using graphemes. In: Proceeding of the Eurospeech, Geneva, Switzerland, September 1-4, pp. 1145–1148 (2003)
Killer, M., Stüker, S., Schultz, T.: Grapheme based speech recognition. In: Proceeding of the Eurospeech, Geneva, Switzerland, September 1-4, pp. 3141–3144 (2003)
Schultz, T.: Towards rapid language portability of speech processing systems. In: Proceedings of the Conference on Speech and Language Systems for Human Communication, SPLASH 2004, Delhi, India, November 17-19 (2004)
Rubagotti, E.: Is it possible to train a speech recognition system on text only? In: Interspeech 2006 - ICSLP, Stellenbosch, South Africa, April 9-11 (2006)
Le, V.B., Besacier, L.: Comparison of acoustic modeling techniques for vietnamese and khmer asr. In: Interspeech 2006 - ICSLP, Pittsburgh, USA, September 17-21, pp. 129–132 (2006)
Charoenpornsawat, P., Hewavitharana, S., Schultz, T.: Thai grapheme-based speech recognition. In: Proc. of the HLT-NAACL, New York City, USA, June 5-7, pp. 17–20 (2006)
Stüker, S., Schultz, T.: A grapheme based speech recognition system for Russian. In: Proceedings of SPECOM 2004, Petersburgh, Russia, September 20-22 (2004)
Kanthak, S., Ney, H.: Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition. In: Proceeding of the ICASSP, Orlando, Florida, May 13-17, pp. 845–848 (2002)
Schillo, C., Fink, G.A., Kummert, F.: Grapheme based speech recognition for large vocabularies. In: Proceeding of the ICSLP, Beijing, China, October 16-20, pp. 584–587 (2000)
Lihan, S., Juhár, J., Čižmár, A.: Comparison of Slovak and Czech speech recognition based on grapheme and phoneme acoustic models. In: Interspeech 2006 - ICSLP, Pittsburgh, USA, September 17-21, pp. 149–152 (2006)
Mirilovič, M., Juhár, J., Čižmár, A.: Large vocabulary continuous speech recognition in slovak. In: Proc. Int. Conf. on Applied Electrical Engineering and Informatics - AEI 2008, Greece, September 8-11 (2008)
Lindberg, B., Johansen, F.T., Warakagoda, N., Lehtinen, G., Kačič, Z., Žgank, A., Elenius, K., Salvi, G.: A noise robust multilingual reference recogniser based on SpeechDat(II). In: Proc. ICSLP 2000, Beijing, China, October 16-20, vol. 3, pp. 370–373 (2000)
Šimková, M.: Slovak national corpus history and current situation. In: Insight into the Slovak and Czech Corpus Linguistics, Veda, Bratislava, pp. 151–159 (2006)
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Mirilovič, M., Juhár, J., Čižmár, A. (2009). Comparison of Grapheme and Phoneme Based Acoustic Modeling in LVCSR Task in Slovak. In: Esposito, A., Hussain, A., Marinaro, M., Martone, R. (eds) Multimodal Signals: Cognitive and Algorithmic Issues. Lecture Notes in Computer Science(), vol 5398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00525-1_24
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DOI: https://doi.org/10.1007/978-3-642-00525-1_24
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