Abstract

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 experiments are carried out based on humming data obtained from eight users and an overall correct recognition rate of around 80% is demonstrated.

Date

2002

Authors

Hsuan-Huei Shih, Shrikanth S Narayanan, C-C Jay Kuo

Journal

IEEE International Conference on Acoustics Speech and Signal Processing

Volume

4

Pages

4175-4175

Publisher

IEEE; 1999