Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques

An important hurdle in medical diagnostics is the high-quality and interpretable classification of audio signals. In this study, we present an image-based representation of infant crying audio files to predict abnormal infant cries using a vision transformer and also show significant improvements in...

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Autori principali:	Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-11-01
Serie:	Information
Soggetti:	vision transformers (ViTs) infant cry classification audio signals image-based representations gammatone frequency cepstral coefficients (GFCCs) spectrogram
Accesso online:	https://www.mdpi.com/2078-2489/15/12/751
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