In this paper, an application of feature extraction from music data is first introduced to motivate our research of finding approximate repeating patterns from sequence data. An a...
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
MusicAustralia is a national music discovery service, developed by the National Library of Australia and ScreenSound Australia, National Film and Sound Archive. The service aims t...
The presented study deals with extraction of melodic line(s) from polyphonic audio recordings. We base our work on the use of expectation maximization algorithm, which is employed...
This paper presents a procedure for the analysis of acousmatic music which was derived from the synthesis of top-down (knowledge driven) and bottom-up (datadriven) cognitive psych...
Automatic audio classification usually considers sounds as music, speech, silence or noise, but works about the noise class are rare. Audio features are generally specific to sp...
Pierre Hanna, Nicolas Louis, Myriam Desainte-Cathe...
Recent advances in music information retrieval have enabled users to query a database by singing or humming into a microphone. The queries are often inaccurate versions of the ori...
This poster presents a Brazilian popular music oriented digital library proposal conceived for a virtual community of people interested in acquiring knowledge about Brazilian popu...
We introduce a causal approach to tempo tracking for musical audio signals. Our system is designed towards an eventual real-time implementation; requiring minimal highlevel knowle...
In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several m...