Signal-Adapted Wavelet for Pitch Detection of Musical Signals
This paper presents a novel approach for pitch detection of musical sound signals using the signal-adapted wavelet transform (WT). As the effectiveness of the wavelet transform for a particular application depends on the choice of the wavelet function, a wavelet function derived from the input power spectral density (PSD) is designed to concentrate the signal energy in the low-frequency region. Based on the corresponding wavelet transform, a time-based event detection method is proposed to extract the pitch periods information from the wavelet coefficients. Because the wavelet is signal-adapted and presents the characteristics of the signal, the pitch detector is suitable for sound signals having a range from 50 to 4000 Hz of the fundamental frequency values. The simulation results and real music experiments demonstrate that the main features of this method are better accuracy than the different methods for pitch period estimation and robustness to noise.
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