AES E-Library

AES E-Library

A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions

Document Thumbnail

A recent review paper by Bello and colleagues [1] compared the performance of a selection of onset detection algorithms, but omitted the psychoacoustically motivated log difference function introduced by Klapuri [4]. This paper addresses that with respect to a number of variants of the Klapuri model, further considering psychoacoustic loudness measures and some other recently published and novel detection functions and peak pickers. The evaluation procedure utilises an extended superset of the database from [1], contrasting non-pitched percussive and pitched non-percussive sound sources. Sixteen detection functions take part in the main trial. Applications are considered in real-time causal systems which react to percussive transients or enable perceptually motivated segmentation. Keywords: Onset Detection, Detection Functions, Peak Picking, Audio Analysis

Author:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=13079

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society