Multi-timbre chord classification using wavelet transform and self-organized map neural networks
نویسندگان
چکیده
AND SELF-ORGANIZED MAP NEURAL NETWORKS Borching Su and Shyh-Kang Jeng Graduate Institute of Communication Engineering and Department of Electrical Engineering National Taiwan University Taipei, Taiwan, ROC. Email: [email protected] ABSTRACT This paper presents a new method for musical chord recognition based on a model of human perception. We classify the chords directly from the sound without the information of timbres and notes. A wavelet-based transform as well as a self-organized map (SOM) neural network is adopted to imitate human ears and cerebra, respectively. The resultant system can classify chords very well even in a noisy environment.
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