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"

7 / 7 papers shown

Title
Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding Dianwen Ng Kun Zhou Yi-Wen Chao Zhiwei Xiong B. Ma E. Chng 36 0 0 12 May 2025
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks Darius Petermann Inseon Jang Minje Kim 16 1 0 14 Mar 2023
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding Darius Petermann Seungkwon Beack Minje Kim 22 14 0 22 Jul 2021
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders Jonah Casebeer Vinjai Vale Umut Isik J. Valin Ritwik Giri A. Krishnaswamy 54 18 0 12 Feb 2021
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization Kai Zhen Mi Suk Lee Jongmo Sung Seungkwon Beack Minje Kim 35 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 104 589 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 198 5,176 0 16 Sep 2016