New method for computational analysis of sound chosen as JASA highlight

February 12, 2021

New method for computational analysis of sound chosen as JASA highlightA recently published article by RITMO researchers has been chosen as a highlight by The Journal of the Acoustical Society of America (JASA). The Journal of the Acoustical Society of America is a monthly peer-reviewed scientific journal covering all aspects of acoustics. Read the articleOlivier Lartillot has developed a new method for localisation of attack regions in audio recordings. Previous attempts to do so were based on the reduction of the audio waveform into an envelope curve, which decreases its temporal resolution. (2021) "Computational localization of attack regions through a direct observation of the audio waveform" in Journal of the Acoustical Society of America 149, 723; doi: 10.1121/10.0003374

New method for computational analysis of sound chosen as JASA highlight

A recently published article by RITMO researchers has been chosen as a highlight by The Journal of the Acoustical Society of America (JASA).

The Journal of the Acoustical Society of America is a monthly peer-reviewed scientific journal covering all aspects of acoustics.

Every month, JASA highlights four articles from that month's issue. In January's issue, "Computational localization of attack regions through a direct observation of the audio waveform" by Olivier Lartillot, and collaborators Kristian Nymoen, Guilherme Schmidt Câmara and Anne Danielsen in the TIME project, was chosen as a highlight. Highlighted articles are made accessible for free for a month after publication.

Read the article

Olivier Lartillot has developed a new method for localisation of attack regions in audio recordings. Previous attempts to do so were based on the reduction of the audio waveform into an envelope curve, which decreases its temporal resolution. The proposed approach detects the attack region directly from the audio waveform and shows a significant increase in precision.

Lartillot is currently working on developing a comprehensive AI-based system for advanced music analysis in the MIRAGE project.

Lartillot, O., Nymoen, K., Câmara, G. S., and Danielsen, A. (2021) "Computational localization of attack regions through a direct observation of the audio waveform" in Journal of the Acoustical Society of America 149, 723; doi: 10.1121/10.0003374

The source of this news is from University of Oslo

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