Author

Carlos Busso

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Preprint Aug 2026

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

This work introduces AffectDF, the most comprehensive benchmark for emotionally expressive speech deepfakes, spanning TTS, VC, emotional VC, and LALM-based spoofing attacks across both acted and spontaneous emotional speech.

Aurosweta Mahapatra, Xiutian Zhao, Shreeram Suresh Chandra et al. · 1 citation

#machine learning Preprint Jul 2024

Rethinking Speaker Embeddings for Speech Generation: Sub-Center Modeling for Capturing Intra-Speaker Diversity

This work revisits this design choice and proposes a sub-center modeling framework for speaker embeddings, which improves intelligibility, increases pitch variability, achieves higher naturalness ratings, and retains strong speaker verification performance in zero-shot voice conversion.

Ismail Rasim Ulgen, J. Hansen, Carlos Busso et al. · 0 citations