PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Yizhao Ni, Matt McVicar, Raúl Santos-Rodríguez and Tijl De Bie
In: 12th International Society for Music Information Retreival (MIREX), 24 Oct - 28 Oct 2011, US.


We present a new system, Harmony progression (HP) analyzer, for simultaneous estimation of keys, chords, and bass notes from music audio. It makes use of a novel chromagram of audio that takes perception of loudness into account. Furthermore, it is fully based on machine learning (ML), such that it is potentially applicable to a wider range of genres as long as training data is available. As compared to other models, the proposed system is fast and memory efficient, while achieving state-of-the-art performance.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Poster)
Additional Information:The evaluation results of this audio chord estimation system can be found at
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:9273
Deposited By:Ni Yizhao
Deposited On:21 February 2012