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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Cadenza Challenge (CAD1): databases for the First Cadenza Challenge - Task2

Authors: Roa Dabike, Gerardo; Cox, Trevor John;

Cadenza Challenge (CAD1): databases for the First Cadenza Challenge - Task2

Abstract

This is the training, validation and evaluation data for the First Cadenza Challenge - Task 2 listening music in a car. The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics. Please see the Cadenza website for a full description of the data File description cadenza_cad1_task2_core.v1_1.tar.gz: Audio and metadata files for training and validation. cadenza_cad1_task2_evaluation.v1_1.tar.gz: Audio and metadata files for evaluation

Related Organizations
Keywords

Machine Learning, Signal Processing, Challenge, Music

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average