Stephan Kanthak and Hermann Ney. Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition. In IEEE Signal Processing Society, ICASSP in Orlando FL, pages 845--848, 2002. Home/Search Document Details and Download
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Multilingual Acoustic Modeling Using Graphemes - Kanthak And Ney (2003) (1 citation) Self-citation (Kanthak Ney) (Correct)
....for a particular language may be modelled by data from other languages. So far, global phoneme sets were most widely used in multilingual acoustic modeling. However, finding a suitable common phoneme set may be challenging and requires phonetic expert knowledge. As shown in previous work [5] grapheme based acoustic units in combination with decision tree statetying may reach the performance of phonemic ones at least on a couple of European languages. The approach is completely driven by the acoustic data and does not require any linguistic or phonetic knowledge. In multilingual ....
....We evaluate our approach on four European languages namely Dutch, French, German and Italian where the acoustic databases where chosen to have similar conditions. 2. Grapheme Based Acoustic Sub Word Units Context dependent acoustic modeling using graphemes has been described in detail in [5] and we only give a brief summary here. In that approach we directly apply decision tree based state tying to the orthographic representation of words. The estimation of decision trees uses the algorithm described in [6] and takes into account the complete acoustic training data as well as a list ....
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S. Kanthak and H. Ney, "Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition," in IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Orlando, FL, May 2002, pp. 845 -- 848.
Master Thesis - At The Interactive (Correct)
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Stephan Kanthak and Hermann Ney. Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition. In IEEE Signal Processing Society, ICASSP in Orlando FL, pages 845--848, 2002.
Thai Grapheme-Based Speech Recognition - Charoenpornsawat, Hewavitharana.. (2006) (Correct)
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Sebastian Kanthak and Hermann Ney. 2002. Contextdependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition. In Proceedings of the ICASSP. Orlando, Florida.
Grapheme Based Speech Recognition - Mirjam Killer Sebastian (2003) (Correct)
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S. Kanthak and H. Ney, Context-dependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition, Proceedings of the ICASSP, pp. 845-848, Orlando FL, 2002.
Flexible Speech Translation Systems - Schultz, Black, Vogel, Woszczyna (2006) (Correct)
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S. Kanthak and H. Ney, "Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition," in Proc. ICASSP, Orlando, FL, 2002, pp. 845-1--845-8.
Flexible Deciscion Trees for Grapheme Based Speech Recognition - Mimer, Stüker, Schultz (2004) (Correct)
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S. Kanthak and H. Ney, "Context-dependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition", in Proceedings the ICASSP, Orlando, Florida, 2002, pp. 845--848.
Towards Rapid Language Portability Of Speech Processing.. - Tanja Schultz Interactive (2004) (Correct)
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S. Kanthak and H. Ney, Contextdependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition. ICASSP, pp. 845-848, Orlando FL, 2002.
Grapheme Based Speech Recognition - Killer (2003) (Correct)
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Stephan Kanthak and Hermann Ney. Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition. In IEEE Signal Processing Society, ICASSP in Orlando FL, pages 845--848, 2002.
Grapheme Based Speech Recognition - Killer, Stüker, Schultz (2003) (Correct)
No context found.
S. Kanthak and H. Ney, Context-dependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition, Proceedings of the ICASSP, pp. 845-848, Orlando FL, 2002.
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