Through the present paper, a methodology to create Visual Representations of Speech for Speech Perception Enhancement Applications is presented. The specific mathematical and computational issues, based on the use of Gradient-Adaptive Lattices, Energy-Band Extraction and a Continuous Formant-Tracking Algorithm, are given. A specific case for Computer-Aided Language Learning oriented to the Phonetic Specificities of English for Spanish Speakers is also presented. The usual inconvenience of adapting the system to each specific speaker may be relaxed using a proper normalization method.
Cite as: Álvarez, A., Martinez, R., Gómez, P., Domínguez, J.L. (1998) A signal processing technique for speech visualization. Proc. ETRW on Speech Technology in Language Learning (STiLL), 33-36
@inproceedings{alvarez98_still,
author={A. Álvarez and R. Martinez and P. Gómez and J. L. Domínguez},
title={{A signal processing technique for speech visualization}},
year=1998,
booktitle={Proc. ETRW on Speech Technology in Language Learning (STiLL)},
pages={33--36}
}