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Evidence record 6795 · automatically gathered

Echoes: A semantically-aligned music deepfake detection dataset

We introduce Echoes, a new dataset for music deepfake detection designed for training and benchmarking detectors under realistic and provider-diverse conditions. Echoes comprises 4,468 tracks (131 hours of audio) spanning multiple genres (pop, rock, electronic), and includes content generated by ten popular AI music generation systems. To prevent shortcut learning and promote robust generalization, the dataset is deliberately constructed to be challenging, enforcing semantic-level alignment betw

Record details

Published: 24 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Misinformation
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Safety & alignment · Shared topic: Misinformation

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How to cite this record

ethics.ai (24 March 2026), “Echoes: A semantically-aligned music deepfake detection dataset,” evidence record 6795, https://ethics.ai/record/6795 (originally published by arXiv).

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