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A statistical approach to humming recognition
IEEE International Conference on Acoustics Speech and Signal Processing
A statistical pattern recognition approach applied to human humming data is examined in this research. Query by humming provides a natural means for content-based retrieval from music databases. The proposed system aims at providing a robust frontend for such an application. The segment of a note in the humming waveform is modeled by a hidden Markov model (HMM) while data features such as pitch measures are modeled by a Gaussian mixture model (GMM). Preliminary real-time recognition experimentsdoi:10.1109/icassp.2002.5745628 dblp:conf/icassp/ShihNK02 fatcat:ftcnyyjwezcu5fcdigp34a4eze