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3D Mel-Spectrogram–Based Deep Learning for Automated Multiclass Diagnosis of Pathological Voices

2025-10-28

Abstract excerpt

<title>Abstract</title> <p>Background Voice disorders are common otolaryngological conditions that significantly impair patients’ communication ability and quality of life. Most existing studies rely on two-dimensional Mel-spectrograms, which, while practical, have inherent limitations in feature extraction. This study demonstrates that three-dimensional Mel-spectrograms can capture more comprehensive pathologica...

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Literature Corpus work
b945f2ea-3168-5922-a055-e891e227d42c
DOI
10.21203/rs.3.rs-7711140/v1
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3D Mel-Spectrogram–Based Deep Learning for Automated Multiclass Diagnosis of Pathological VoicesDOI 10.21203/rs.3.rs-7711140/v1
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