Title :
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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.832676
