5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Heterogeneous Acoustic Measurements for Phonetic Classification 1

Andrew K. Halberstadt, James R. Glass

Spoken Language Systems Group, Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

In this paper we describe our recent efforts to improve acoustic- phonetic modeling by developing sets of heterogeneous, phone-class- specific measurements, and combining these diverse measurements into a probabilistic classification framework. We first describe a baseline classifier using homogeneous measurements. After comparing selected sub-tasks to known human performance, we define sets of phone-class-specific measurements which improve within-class classification performance. Subsequently, we combine these heterogeneous measurements into an overall context- independent classification framework. We report on a series of phonetic classification experiments using the TIMIT acoustic-phonetic corpus. Our overall frame-work achieves 79.0% accuracy on the NIST core test set.

Full Paper

Bibliographic reference.  Halberstadt, Andrew K. / Glass, James R. (1997): "Heterogeneous acoustic measurements for phonetic classification 1", In EUROSPEECH-1997, 401-404.