Characterizing Deletion Transformations Across Dialects Using a Sophisticated Tying Mechanism

In this work, we propose extensions of our Phone-based Pronunciation Model (PPM) for analyzing dialect differences. We compared these systems using 3 metrics and 2 datasets of English. Empirical results suggest that (1) sophisticated tying is suitable in modeling deletion transformations across dialects, beating standard tying by 33% relative, and (2) APM (Acousticbased Pronunciation Model) improves performance in generating dialect-specific pronunciations, dialect identification and rule retrieval, achieving relative gains beyond 34%. Index Terms: acoustic model, pronunciation model, phonetic rule, phonetic transformation, dialect recognition

[1]  Joseph P. Campbell,et al.  Informative dialect recognition using context-dependent pronunciation modeling , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Donald M. Taylor,et al.  Towards a theory of interpersonal accommodation through language: some Canadian data , 1973, Language in Society.

[3]  Joseph P. Campbell,et al.  A linguistically-informative approach to dialect recognition using dialect-discriminating context-dependent phonetic models , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[4]  Joseph P. Campbell,et al.  A linguistically‐informative approach to dialect recognition using dialect‐specific context‐dependent phonetic models. , 2009 .

[5]  Hagen Soltau,et al.  Discriminative Phonotactics for Dialect Recognition Using Context-Dependent Phone Classifiers , 2010, Odyssey.

[6]  J. Wells.  Accents of English 3: North America , 1982 .

[7]  Stephen Cox,et al.  Some statistical issues in the comparison of speech recognition algorithms , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[8]  Janet M. Baker,et al.  The Design for the Wall Street Journal-based CSR Corpus , 1992, HLT.

[9]  Steve Renals,et al.  WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[10]  William M. Campbell,et al.  Discriminative n-gram selection for dialect recognition , 2009, INTERSPEECH.

[11]  Douglas A. Reynolds,et al.  Dialect recognition using adapted phonetic models , 2008, INTERSPEECH.