Summary of the paper

Title Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
Authors Bert Réveil, Jean-Pierre Martens and Henk van den Heuvel
Abstract This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins or speaker tongues) a multilingual acoustic model is combined with a lexicon comprising 3 grapheme-to-phoneme (G2P) transcriptions from G2P transcribers for 3 different languages) and up to 4 so-called phoneme-to-phoneme (P2P) transcriptions. The latter are generated with (speaker tongue, name source) specific P2P converters that try to transform a set of baseline name transcriptions into a pool of transcription variants that lie closer to the `true’ name pronunciations. The experimental results show that the generated P2P variants can be employed to improve name recognition, and that the obtained accuracy is comparable to what is achieved with typical (TY) transcriptions (made by a human expert). Furthermore, it is demonstrated that the P2P conversion can best be instantiated from a baseline transcription in the name source language, and that knowledge of the speaker tongue is an important input as well for the P2P transcription process.
Topics Speech Recognition/Understanding, Multilinguality, Lexicon, lexical database
Full paper Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
Slides -
Bibtex @InProceedings{RVEIL10.281,
  author = {Bert Réveil and Jean-Pierre Martens and Henk van den Heuvel},
  title = {Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
Powered by ELDA © 2010 ELDA/ELRA