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Audio Generation
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Audio generation (synthesis) is the task of generating raw audio such as speech.
<span style="color:grey; opacity: 0.6">( Image credit: MelNet )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance
ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing
Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation
LiLAC: A Lightweight Latent ControlNet for Musical Audio Generation
ViSAGe: Video-to-Spatial Audio Generation
BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation
A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations
Sounding that Object: Interactive Object-Aware Image to Audio Generation
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization
InfiniteAudio: Infinite-Length Audio Generation with Consistency
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Voice Adaptation for Swiss German
AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion
Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languages
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
VoiceMark: Zero-Shot Voice Cloning-Resistant Watermarking Approach Leveraging Speaker-Specific Latents
ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation
CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning
EnvSDD: Benchmarking Environmental Sound Deepfake Detection
MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation
Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection
MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling
Replay Attacks Against Audio Deepfake Detection
Unified Cross-modal Translation of Score Images, Symbolic Music, and Performance Audio
Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses
VoiceCloak: A Multi-Dimensional Defense Framework against Unauthorized Diffusion-based Voice Cloning
DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis
Fast Text-to-Audio Generation with Adversarial Post-Training
TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
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