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Title: Transcription of out-of-vocabulary words in large vocabulary speech recognition based on phoneme-to-grapheme conversion
Authors: Decadt, Bart
Duchateau, Jacques
Daelemans, Walter
Wambacq, Patrick #
Issue Date: May-2002
Host Document: Proceedings IEEE international conference on acoustics, speech, and signal processing, ICASSP'2002 vol:I pages:861-864
Conference: IEEE international conference on acoustics, speech, and signal processing, ICASSP’2002 location:Orlando, Florida, USA date:13-17 May 2002
Abstract: In this paper, we describe a method to enhance the readability of the textual output in a large vocabulary continuous speech recognizer when out-of-vocabulary words occur.
The basic idea is to replace uncertain words in the transcriptions with a phoneme recognition result that is post-processed using a phoneme-to-grapheme converter. This converter turns phoneme strings into grapheme strings and is trained using machine learning techniques.
Recently, the system was enhanced by adding a spelling checker to it.
Experiments show that, even when the grapheme strings are not fully correct, the resulting transcriptions are more easily readable than the original ones.
Description: Decadt B., Duchateau J., Daelemans W., Wambacq P., ''Transcription of out-of-vocabulary words in large vocabulary speech recognition based on phoneme-to-grapheme conversion'', Proceedings IEEE international conference on acoustics, speech, and signal processing, ICASSP'2002, vol. I, pp. 861-864, May 13-17, 2002, Orlando, Florida, USA.
URI: 
Publication status: published
KU Leuven publication type: IC
Appears in Collections:ESAT - PSI, Processing Speech and Images
# (joint) last author

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