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eess.AS2026

Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity

Hsiang-Chen Yeh, Aurosweta Mahapatra, Shreeram Suresh Chandra +2

Word-aligned prosody is increasingly used to detect depression and posttraumatic stress disorder (PTSD), yet the stability and clinical relevance of these measurements remain uncle…

eess.AS2026

Brain2Speech-Net: Fast and Intelligible Brain-to-Speech Synthesis Without Text Decoding

Shreeram Suresh Chandra, Zexin Cai, Yu Tsao +2

The loss of speech limits communication for individuals with paralysis. Direct neural-to-speech synthesis is challenging due to the limited availability of neural data for training…

eess.AS2026

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks

Aurosweta Mahapatra, Xiutian Zhao, Shreeram Suresh Chandra +7

Speech deepfake detection (SDD) systems achieve strong performance on conventional benchmarks; however, existing datasets provide limited coverage of emotionally expressive and rec…

eess.AS2026

Disentangling the Interpretive and Predictive Roles of LIWC: Controlled Substitution in Depression-Related Classification

Hsiang-Chen Yeh, Xiutian Zhao, Aurosweta Mahapatra +3

Linguistic Inquiry and Word Count (LIWC) provides auditable psycholinguistic categories that are widely used to interpret depression-related language, but its incremental predictiv…

eess.AS2026

TRACE-EVC: Text-Guided Relative Affective Control for Zero-Shot Emotional Voice Conversion

Zihan Zhang, Shreeram Suresh Chandra, Zongyang Du +5

Traditional emotional voice conversion (EVC) conditions generation on explicit target emotions like labels or references, defining the target affective state but omitting the direc…

eess.AS2026

Who is Speaking or Who is Depressed? A Controlled Study of Speaker Leakage in Speech-Based Depression Detection

Hsiang-Chen Yeh, Luqi Sun, Aurosweta Mahapatra +3

This study investigates whether speech-based depression detection models learn depression-related acoustic biomarkers or instead rely on speaker identity cues. Using the DAIC-WOZ d…