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Towards Detecting Neural Audio Codec Synthesized Heart Sounds
[Submitted on 19 Jun 2026] · 2026-06-23 · via eess.AS updates on arXiv.org

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Abstract:In this paper, we introduce Synthetic Heart Sound Detection (SHAC), a task aimed at identifying phonocardiograms (PCGs) synthesized using neural audio codecs (NACs). To facilitate research in this direction, we release CARDIOFAKE, the first benchmark dataset for SHAC containing both real and codec-synthesized PCGs. We benchmark spectral representations (MFCC, LFCC) and self-supervised learning (SSL) representations (e.g., WavLM) for the task. Furthermore, we propose GROOT, a fusion framework that integrates spectral and SSL features for leveraging their complementary behavior. Experiments show that GROOT, combining MFCC and WavLM, achieves state-of-the-art performance, outperforming individual representations and competitive baselines.

Submission history

From: Mohd Akhtar Mujtaba [view email]
[v1] Fri, 19 Jun 2026 20:29:17 UTC (2,924 KB)

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