A neural network based classifier and biofeedback device for improving clarinet tone-quality

Author

Fasel, Ian R. ; Bollacker, Kurt D. ; Ghosh, Joydeep

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

Volume

3

fYear

1999

fDate

1999

Firstpage

1924

Abstract

This paper describes an automated tool for classifying tone quality (a quality related to timbre). This tool provides real-time visual feedback to players of clarinet to help improve tone production technique. A neural network architecture is employed to build a graphical biofeedback device that allows the user to immediately “see” what changes in technique lead to better tone-quality. The tone is also classified and probability estimates are shown in a bar graph, giving quantitative feedback to the user

Keywords

feedback; multilayer perceptrons; music; pattern classification; probability; real-time systems; self-organising feature maps; bar graph; biofeedback; clarinet; multilayer perceptrons; music; neural network; pattern classifier; probability; real-time systems; self organising feature map; tone-quality; Artificial neural networks; Auditory system; Biological control systems; Humans; Image analysis; Instruments; Neural networks; Neurofeedback; Signal processing; Timbre;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.832676

Filename

832676