Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection

arXiv:2309.13476 · cs.CL, cs.SD, eess.AS · Submitted 2023-09-23 · Read on arXiv

cs.CL, cs.SD, eess.AS

Submitted: 2023-09-23

Updated: 2026-09-18

Comments: This work has been superseded by a later version, submitted as as 'https://arxiv.org/abs/2309.13476', and therefore bears no extra scientific contribution, and should be withdrawn to avoid being cited by the scientific community

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 15× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Interpretability — 6× in this paper · explained in 15 episodes
• Audio Spectrogram Transformer — 2× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Hierarchical Attention Network — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder
• Attention is not not Explanation
• AST: Audio Spectrogram Transformer
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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