Reference : Effects of acoustic degradations on cover song identification systems
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/196977
Effects of acoustic degradations on cover song identification systems
English
Osmalsky, Julien mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
Embrechts, Jean-Jacques mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Techniques du son et de l'image >]
2016
International Congress on Acoustics: ICA 2016
No
No
International
International Congress on Acoustics (ICA 2016)
September 5-9, 2016
Buenos Aires
Argentine
[en] Music Information Retrieval ; Cover Song Identification ; Audio degradation
[en] Cover song identification systems deal with the problem of identifying
different versions of an audio query in a reference database. Such
systems involve the computation of pairwise similarity scores between
a query and all the tracks of a database. The usual way of evaluating
such systems is to use a set of audio queries, extract features from
them, and compare them to other tracks in the database to report diverse
statistics. Databases in such research are usually designed in a controlled
environment, with relatively clean audio signals. However, in real
life conditions, audio signals can be seriously modified due to acoustic
degradations. For example, depending on the context, audio can be modified
by room reverberation, or by added hands clapping noise in a live
concert, etc. In this paper, we study how environmental audio degradations
affect the performance of several state-of-the-arty cover song recognition systems.
In particular, we study how reverberation, ambient noise and distortion affect
the performance of the systems. We further investigate the effect of recording or
playing music through a smartphone for music recognition.
To achieve this, we use an audio degradation toolbox to degrade the set of queries
to be evaluated. We propose a comparison of the performance achieved with
cover song identification systems based on several harmonic and timbre features
under ideal and noisy conditions.
We demonstrate that the performance depends strongly on the degradation method applied
to the source, and quantify the performance using multiple statistics.
http://hdl.handle.net/2268/196977

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