5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

The Design of Acoustic Parameters for Speaker-Independent Speech Recognition

Nabil N. Bitar, Carol Y. Espy-Wilson

Boston University, Electrical & Computer Engineering Dept., Boston, MA, USA

This paper presents a two-stage procedure, based on the Fisher criterion and automatic classification trees, for designing acoustic parameters (APs) that target phonetic features in the speech signal. This procedure and a subset of the TIMIT 1 training set were used to develop acoustic parameters for the phonetic features: sonorant, syllabic, strident, palatal, alveolar, labial and velar. Results on a subset of the TIMIT test set show that the developed parameters achieve correct phonetic-feature classification rates in the 90 % range with the exception of stop- consonant place of articulation (labial, alveolar and velar) where correct classification is about 73 %. Furthermore, it is shown that by basing the acoustic parameters on relative measures (e.g. an acoustic parameter that measures energy in a frequency band relative to energy in the same band at another time instant) the effect of interspeaker variability (e.g. gender) on the parameters is reduced.

Full Paper

Bibliographic reference.  Bitar, Nabil N. / Espy-Wilson, Carol Y. (1997): "The design of acoustic parameters for speaker-independent speech recognition", In EUROSPEECH-1997, 1239-1242.