In this paper we present a fast and efficient match algorithm, which consists of two key techniques: Spectral Correlation Based Feature Merge(SCBFM) and Two-Step Retrieval(TSR). ...
This paper proposes an algorithm for studying spectral contents of pitched sounds in real-world recordings. We assume that the 2nd -order difference, w.r.t. partial index, of a pi...
Despite the fact that people are increasingly listening to music electronically, the core interface of the common tools for playing the music have had very little improvement. In ...
This paper describes the use of motif contour classes for efficient retrieval of melodies from music collections. Instead of extracting incipits or themes, complete monophonic pi...
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Cataloging a large, multi-media collection of traditional song and drama in preparation for online presentation highlights issues of song identity and access in the context of con...
Large music collections require new ways to let users interact with their music. The concept of finding ‘similar’ songs, albums, or artists provides handles to users for easy ...
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
This survey paper provides an overview of content-based music information retrieval systems, both for audio and for symbolic music notation. Matching algorithms and indexing metho...
The performance of autocorrelation-based metre induction was tested with two large collections of folk melodies, consisting of approximately 13,000 melodies in MIDI file format, f...