DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
Paper • 2510.22622 • Published
AI & ML interests
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
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Billpai
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wli3221134
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jiaqili3
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HarryHe
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HarryHe
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RMSnow
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Qwen-Music Technical Report
Paper • 2607.11699 • Published • 34
Closing the Modality Reasoning Gap for Speech Large Language Models
Paper • 2601.05543 • Published • 1
SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
Paper • 2511.07931 • Published
The Singing Voice Conversion Challenge 2025: From Singer Identity Conversion To Singing Style Conversion
Paper • 2509.15629 • Published
AnyAccomp: Generalizable Accompaniment Generation via Quantized Melodic Bottleneck
Paper • 2509.14052 • Published • 1
Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment
Paper • 2505.04113 • Published
Vevo2: Bridging Controllable Speech and Singing Voice Generation via Unified Prosody Learning
Paper • 2508.16332 • Published
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
Paper • 2508.16790 • Published • 10
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
Paper • 2506.09996 • Published • 2
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
Paper • 2502.07243 • Published • 1
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
Paper • 2502.03128 • Published • 2
Overview of the Amphion Toolkit (v0.2)
Paper • 2501.15442 • Published • 4
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Paper • 2409.00750 • Published • 6
SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion
Paper • 2402.12660 • Published