Abstract
In this paper, recognition of persons is attempted from their hum. This kind of application can be useful to design humming-based biometrics system or person-dependent Query-by-Humming (QBH) system and hence play an important role in music information retrieval (MIR) system. This paper develops a new feature extraction technique to exploit phase spectrum information along with magnitude spectrum information from hum signal. In particular, structure of state-of-the-art feature set, viz., Mel Frequency Cepstral Coefficients (MFCC) is modified to capture the phase spectrum information. In addition, a new energy measure, viz., Variable length Teager Energy Operator (VTEO) is employed to compute subband energies of different time-domain subband signals (i.e., output of 24 triangular shaped filters used in Mel filterbank). Discriminatively-trained polynomial classifier of 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> order approximations are used as the basis for recognition experiment.
Published Version
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