Based on a previous case study on the Schubert. Winterreise dataset, this paper aims to build a robust local key estimation methods. To this end, we propose a ...

This paper aims to build a robust local key estimation methods. To this end, we propose a novel neural network architecture (OctaveNet), which is inspired by ...

Nov 24, 2024 · Spiking Neural Networks (SNNs) are strongly suggested as valid candidates able to overcome Artificial Neural Networks (ANNs) in this specific ...

Aug 30, 2024 · 1: TOWARDS ROBUST LOCAL KEY ESTIMATION WITH A MUSICALLY INSPIRED NEURAL NETWORK · 2: AUTOMATIC LIVE MUSIC SONG IDENTIFICATION USING MULTI-LEVEL ...

Towards Robust Local Key Estimation with a Musically Inspired Neural Network. Y Ding, C Weiß. EUSIPCO 2024-2024 European Conference on Signal Processing ...

Oct 15, 2024 · Publications. Towards Robust Local Key Estimation with a Musically Inspired Neural Network. Yiwei Ding, and Christof Weiß.

Towards Robust Local Key Estimation with a Musically Inspired Neural Network. Y Ding, C Weiß. EUSIPCO 2024-2024 European Conference on Signal Processing ...

This work approaches local key estimation on a unique cross-version dataset comprising nine performances of Schubert's song cycle Winterreise—a challenging ...

Towards Robust Local Key Estimation with a Musically Inspired Neural Network ... End-to-end musical key estimation using a convolutional neural network.

Splitting along the song axis, we find that both methods perform similarly well. Splitting along the version axis leads to clearly higher results, especially ...