Audio Enhancement for Computer Audition -- An Iterative Training
Paradigm Using Sample Importance

Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance

12 August 2024

Andreas Triantafyllopoulos

Björn W. Schuller

Papers citing "Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance"

5 / 5 papers shown

Title
Joint Training of Speech Enhancement and Self-supervised Model for Noise-robust ASR Qiu-shi Zhu Jie M. Zhang Zitian Zhang Lirong Dai 35 15 0 26 May 2022
Multistage linguistic conditioning of convolutional layers for speech emotion recognition Andreas Triantafyllopoulos U. Reichel Shuo Liu Simon Huber F. Eyben Björn W. Schuller 25 9 0 13 Oct 2021
Streaming end-to-end speech recognition with jointly trained neural feature enhancement Chanwoo Kim Abhinav Garg Dhananjaya N. Gowda Seongkyu Mun C. Han AuLLM 18 6 0 04 May 2021
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
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 237 75,770 0 18 May 2015