Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding

31 December 2020

Papers citing "Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding"

5 / 5 papers shown

Title
Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding Dianwen Ng Kun Zhou Yi-Wen Chao Zhiwei Xiong B. Ma E. Chng 31 0 0 12 May 2025
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks Darius Petermann Inseon Jang Minje Kim 11 1 0 14 Mar 2023
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization Kai Zhen Mi Suk Lee Jongmo Sung Seungkwon Beack Minje Kim 25 20 0 13 Feb 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018
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 190 5,173 0 16 Sep 2016