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Conference papers
On the usefulness of differentiated transient/steady-state processing in machine recognition of musical instruments
Abstract : This paper addresses the usefulness of the segmentation of musical sounds into transient/non-transient parts for the task of machine recognition of musical instruments. We put into light the discriminative power of the attack-transient segments on the basis of objective criteria, consistent with the well-known psychoacoustics findings. The sound database used is composed of real-world mono-instrument phrases. Moreover, we show that, paradoxically, it is not always optimal to consider such a segmentation of the audio signal in a machine recognition system for a given decision window. Our evaluation exploits efficient automatic segmentation techniques, a wide variety of signal processing features as well as feature selection algorithms and support vector machine classification.
Cited literature [26 references]
https://hal.telecom-paris.fr/hal-02946881
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Submitted on : Wednesday, September 23, 2020 - 3:00:20 PM
Last modification on : Friday, December 4, 2020 - 3:23:39 AM
Long-term archiving on: : Thursday, December 3, 2020 - 4:07:23 PM
Contributor : Slim Essid Connect in order to contact the contributor
Submitted on : Wednesday, September 23, 2020 - 3:00:20 PM
Last modification on : Friday, December 4, 2020 - 3:23:39 AM
Long-term archiving on: : Thursday, December 3, 2020 - 4:07:23 PM
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