A pairwise approach to simultaneous onset/offset detection for singing voice using correntropy

TL;DR

This paper introduces a novel pairwise method using correntropy for precise simultaneous detection of note onsets and offsets in singing voice signals, outperforming or matching current state-of-the-art techniques.

Contribution

The paper presents a new approach employing correntropy and a specialized peak picking algorithm for accurate simultaneous onset and offset detection in singing voice signals.

Findings

Achieves significantly better or comparable performance to existing methods.

Effectively captures instantaneous flux while being robust to outliers.

Demonstrates improved accuracy in singing voice onset/offset detection.

Abstract

In this paper, we propose a novelmethod to search for precise locations of paired note onset and offset in a singing voice signal. In comparison with the existing onset detection algorithms,our approach differs in two key respects. First, we employ Correntropy, a generalized correlation function inspired from Reyni's entropy, as a detection function to capture the instantaneous flux while preserving insensitiveness to outliers. Next, a novel peak picking algorithm is specially designed for this detection function. By calculating the fitness of a pre-defined inverse hyperbolic kernel to a detection function, it is possible to find an onset and its corresponding offset simultaneously. Experimental results show that the proposed method achieves performance significantly better than or comparable to other state-of-the-art techniques for onset detection in singing voice.