This paper explores nonlinear methods, inspired by the fractal theory for the analysis of the structure of music signals at multiple time scales, which is of importance both for their modeling and for their automatic computer based recognition. The multiscale fractal dimension (MFD) profi le is proposed as a short-time descr iptor, useful to quantify the multiscale complexity and fragmentation of the different states of the music waveform.