QuadVoxBench: A Large-Scale Fine-Grained Benchmark for Robust Audio Deepfake Detection
Dataset Description
QuadVoxBench is a large-scale (574.5+ hours) audio benchmark dataset designed for the robust evaluation of deepfake detection systems. It is structured around four key aspects of audio variation: Speech Style, Emotional Prosody, Acoustic Environment, and Manipulation Type. The dataset features a diverse collection of real and synthetically generated audio in English… See the full description on the dataset page: https://huggingface.co/datasets/Lioy/QuadVoxBench.
