activity
20242026
collaborators

13 papers

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

Comparative Reasoning: Making an Audio Language Model Better at Comparing Emotions

Abinay Reddy Naini, Jaeyeon Kim, Chao-Han Huck Yang +2

Large audio-language models (LALMs) can reason about audio, yet it remains unclear whether they can perform comparative judgments between two speech signals along emotional, enviro…

cs.LG2026

ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools -- From Consensus Learning to Ambiguity-Driven Emotion Reasoning

Esther Sun, Bo-Hao Su, Abinay Reddy Naini +2

Speech Large Language Models (SLLMs) enable high-level emotion reasoning but often produce ungrounded, text-biased judgments without verifiable acoustic evidence. In contrast, self…

eess.AS2026

Recovering Performance in Speech Emotion Recognition from Discrete Tokens via Multi-Layer Fusion and Paralinguistic Feature Integration

Esther Sun, Abinay Reddy Naini, Carlos Busso

Discrete speech tokens offer significant advantages for storage and language model integration, but their application in speech emotion recognition (SER) is limited by paralinguist…

eess.AS2025

NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion

Zongyang Du, Shreeram Suresh Chandra, Ismail Rasim Ulgen +4

Everyday speech conveys far more than words, it reflects who we are, how we feel, and the circumstances surrounding our interactions. Yet, most existing speech datasets are acted,…

cs.SD2025

Finding My Voice: Generative Reconstruction of Disordered Speech for Automated Clinical Evaluation

Karen Rosero, Eunjung Yeo, David R. Mortensen +3

We present ChiReSSD, a speech reconstruction framework that preserves children speaker's identity while suppressing mispronunciations. Unlike prior approaches trained on healthy ad…