Abstract

In this article, we propose a solution to the problem of query by example for polyphonic music audio. We first present a generic mid-level representation for audio queries. Unlike previous efforts in the literature, the proposed representation is not dependent on the different spectral characteristics of different musical instruments and the accurate location of note onsets and offsets. This is achieved by first mapping the short term frequency spectrum of consecutive audio frames to the musical space (the spiral array) and defining a tonal identity with respect to center of effect that is generated by the spectral weights of the musical notes. We then use the resulting single dimensional text representations of the audio to create a-gram statistical sequence models to track the tonal characteristics and the behavior of the pieces. After performing appropriate smoothing, we build a collection of melodic n-gram models for testing …

Date

2007

Authors

Erdem Unal, Panayiotis G Georgiou, Shrikanth S Narayanan, Elaine Chew

Conference

2007 IEEE 9th Workshop on Multimedia Signal Processing

Pages

405-409

Publisher

IEEE