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Canada-0-MATTRESSES ไดเรกทอรีที่ บริษัท
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ข่าว บริษัท :
- A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio . . .
In this work, we introduce Spoof-SUPERB, a benchmark for audio deepfake detection that systematically evaluates 20 SSL models spanning generative, discriminative, and spectrogram-based architectures We evaluated these models on multiple in-domain and out-of-domain datasets
- A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio . . .
In this work, we introduce Spoof-SUPERB, a benchmark for audio deepfake detection that systematically evaluates 20 SSL models spanning generative, discriminative, and spectrogram-based architectures
- A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio . . .
Self-supervised speech models represent a promising approach to audio deepfake detection, but their effectiveness varies considerably This standardized benchmark provides the testing infrastructure needed to measure progress and identify which models work best
- A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio . . .
To address this, we introduce a SUPERB-style benchmark for audio deepfake de-tection, providing reproducible evaluation of a broad family of SSL models under a unified protocol
- Accepted to ICASSP 2026: Spoof-SUPERB Audio Deepfake Detection Benchmark
In this work, we introduce Spoof-SUPERB, a SUPERB-style benchmark for audio deepfake detection
- SUPERB: Speech processing Universal PERformance Benchmark
The ultimate goal of SUPERB is to democratize the advancement in speech processing with powerful, generalizable, and reusable speech representations
- awesome-fake-audio-detection README. md at main - GitHub
Understanding Generalization of Audio Deepfake Detection Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection Does Audio Deepfake Detection Generalize? How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey
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