SOTAVerified

Audio Generation

Audio generation (synthesis) is the task of generating raw audio such as speech.

( Image credit: MelNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 270 papers

TitleStatusHype
Creative Text-to-Audio Generation via Synthesizer Programming—0
AudioLCM: Text-to-Audio Generation with Latent Consistency ModelsCode5
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow MatchingCode2
A Survey of Deep Learning Audio Generation Methods—0
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound GenerationCode2
C3LLM: Conditional Multimodal Content Generation Using Large Language Models—0
The Rarity of Musical Audio Signals Within the Space of Possible Audio Generation—0
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generation—0
Prompt-guided Precise Audio Editing with Diffusion Models—0
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
Leveraging AI to Generate Audio for User-generated Content in Video Games—0
Music Style Transfer With Diffusion Model—0
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty SearchCode0
LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights—0
Long-form music generation with latent diffusionCode7
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference OptimizationCode5
Synthetic training set generation using text-to-audio models for environmental sound classification—0
Text-to-Audio Generation Synchronized with Videos—0
RFWave: Multi-band Rectified Flow for Audio Waveform ReconstructionCode2
(Un)paired signal-to-signal translation with 1D conditional GANs—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners—0
LLMBind: A Unified Modality-Task Integration FrameworkCode1
Language-Codec: Bridging Discrete Codec Representations and Speech Language ModelsCode3
Classification Diffusion Models: Revitalizing Density Ratio Estimation—0
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All datasetsAudioCapsClassical music, 5 seconds at 12 kHzSymphony music

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AudioGenFD_openl3185.53—Unverified
2AudioLDM2-largeFD_openl3158.04—Unverified
3Stable Audio 2.0FD_openl3110.62—Unverified
4Stable AudioFD_openl3103.66—Unverified
5ETTAFD_openl380.13—Unverified
6TangoFlux-baseFD_openl379.7—Unverified
7Stable Audio OpenFD_openl378.24—Unverified
8TangoFluxFD_openl375.1—Unverified
9ETTA-FT-AC-100kFD_openl361.79—Unverified
10DiffsoundFAD7.75—Unverified
#ModelMetricClaimedVerifiedStatus
1VAB-Encodec (Ours)Bits per byte40—Unverified
2Sparse Transformer 152M (strided)Bits per byte1.97—Unverified
#ModelMetricClaimedVerifiedStatus
1SymphonyNet Human listening average results3.5—Unverified