2024
DOI: 10.18280/ts.410113
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Depression Symptom Identification Through Acoustic Speech Analysis: A Transfer Learning Approach

Purude Vaishali Narayanrao,
Kshiraja Kohirker,
Tadakamalla Shyam Preeth
et al.

Abstract: In the field of mental health diagnostics, the acoustic characteristics of speech have been recognized as potent markers for the identification of depressive symptoms. This study harnesses the power of transfer learning (TL) to discern depression-related sentiments from speech. Acoustic features such as rhythm, pitch, and tone form the core of this analysis. The methodology unfolds in three distinct phases. Initially, a Multi-Layer Perceptron (MLP) network employing stochastic gradient descent is applied to th… Show more

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