On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks

14 November 2020

Papers citing "On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks"

10 / 10 papers shown

Title
High-Resolution Speech Restoration with Latent Diffusion Model Tushar Dhyani Florian Lux Michele Mancusi Giorgio Fabbro Fritz Hohl Ngoc Thang Vu DiffM 37 0 0 17 Sep 2024
Combined Generative and Predictive Modeling for Speech Super-resolution Heming Wang Eric W. Healy DeLiang Wang DiffM 33 0 0 25 Jan 2024
Phase Repair for Time-Domain Convolutional Neural Networks in Music Super-Resolution Yenan Zhang G. Kolkman Hiroshi Watanabe SupR 28 2 0 20 Jun 2023
Solving Audio Inverse Problems with a Diffusion Model Eloi Moliner J. Lehtinen Vesa Valimaki DiffM 31 50 0 27 Oct 2022
Music Separation Enhancement with Generative Modeling N. Schaffer Boaz Cogan Ethan Manilow Max Morrison Prem Seetharaman Bryan Pardo 34 9 0 26 Aug 2022
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration Haohe Liu Xubo Liu Qiuqiang Kong Qiao Tian Yan Zhao DeLiang Wang Chuanzeng Huang Yuxuan Wang 18 51 0 12 Apr 2022
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement Pavel Andreev Aibek Alanov Oleg Ivanov Dmitry Vetrov 38 38 0 24 Mar 2022
TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining Viet-Anh Nguyen Anh H. T. Nguyen Andy W. H. Khong 27 22 0 26 Oct 2021
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example Gal Greshler Tamar Rott Shaham T. Michaeli 18 25 0 11 Jun 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 231 5,180 0 16 Sep 2016