Relying on critical articulators to estimate vocal tract spectra in an articulatory-acoustic database Conference Paper uri icon

abstract

  • We present a new phone-dependent feature weighting scheme that can be used to map articulatory configurations (e.g. EMA) onto vocal tract spectra (e.g. MFCC) through table lookup. The approach consists of assigning feature weights according to a feature's ability to predict the acoustic distance between frames. Since an articulator's predictive accuracy is phone-dependent (e.g., lip location is a better predictor for bilabial sounds than for palatal sounds), a unique weight vector is found for each phone. Inspection of the weights reveals a correspondence with the expected critical articulators for many phones. The proposed method reduces overall cepstral error by 6% when compared to a uniform weighting scheme. Vowels show the greatest benefit, though improvements occur for 80% of the tested phones. 2010 ISCA.

name of conference

  • Interspeech 2010

published proceedings

  • 11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4

author list (cited authors)

  • Felps, D., Geng, C., Berger, M., Richmond, K., & Gutierrez-Osuna, R.

citation count

  • 1

complete list of authors

  • Felps, Daniel||Geng, Christian||Berger, Michael||Richmond, Korin||Gutierrez-Osuna, Ricardo

editor list (cited editors)

  • Kobayashi, T., Hirose, K., & Nakamura, S.

publication date

  • December 2010