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 226–250 of 270 papers

TitleStatusHype
DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment—0
Sounding Video Generator: A Unified Framework for Text-guided Sounding Video GenerationCode0
Leveraging Pre-trained AudioLDM for Sound Generation: A Benchmark Study—0
SingSong: Generating musical accompaniments from singing—0
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning—0
Audio Deepfake Attribution: An Initial Dataset and Investigation—0
Adversarial Audio Synthesis with Complex-valued Polynomial Networks—0
FlexLip: A Controllable Text-to-Lip System—0
On Target Representation in Continuous-output Neural Machine Translation—0
Streamable Neural Audio Synthesis With Non-Causal Convolutions—0
ADD 2022: the First Audio Deep Synthesis Detection Challenge—0
Soundify: Matching Sound Effects to Video—0
Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Video—0
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution—0
Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention—0
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis—0
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior—0
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation—0
Visually Informed Binaural Audio Generation without Binaural Audios—0
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions—0
NU-GAN: High resolution neural upsampling with GAN—0
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder—0
Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning—0
Neural Granular Sound Synthesis—0
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation—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