Oct 25, 2019 · We propose a model to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation.

In this paper we propose SPICE, a self-supervised pitch estimation algorithm for monophonic audio. The SPICE model is trained to recognize relative pitch ...

Nov 14, 2019 · SPICE is designed to learn the level of confidence of the pitch estimation in a self-supervised fashion, instead of relying on handcrafted ...

The proposed self-supervised learning technique is able to estimate pitch at a level of accuracy comparable to fully supervised models, both on clean and ...

SPICE as described in [31] enhances pitch estimation by training trains constant Q transform of signals and calibrates the learned data for improved results.

We propose a model to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation. We acknowledge the fact that obtaining ...

This is a pretrained model that can recognize the fundamental pitch from mixed audio recordings (including noise and backing instruments).

Jun 17, 2020 · SPICE is a pretrained model that can recognize the fundamental pitch from mixed audio recordings (including noise and backing instruments).

We propose a model to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation. We acknowledge the fact that obtaining ...

We propose a model to estimate the fundamental frequency in monophonic audio, often referred to as pitch estimation. We acknowledge the fact that obtaining ...