Audio Super Resolution On Vctk Multi Speaker 1

Métriques

Log-Spectral Distance

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
U-Net	3.1	Audio Super Resolution using Neural Networks
U-Net + TFiLM	1.8	Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
U-Net + AFiLM	1.7	Self-Attention for Audio Super-Resolution
TUNet	1.36	TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining
TUNet + MSM pre-training	1.28	TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining
NVSR	0.78	Neural Vocoder is All You Need for Speech Super-resolution
CMGAN	0.76	CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement

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Audio Super Resolution On Vctk Multi Speaker 1 | SOTA | HyperAI