Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation

Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation

Audio files corresponding to the thesis on audio source separation using GAN phase estimation. They demonstrate various attempted methods to separate tactical impulse noise from speech and drum impulse noise from music, and show the mixed, clean and separated signals. These audio files are named in...

Full description

Bibliographic Details
Main Author: Piercy, Phoebe
Format: Dataset
Language:en_US
Published: 2021
Subjects:
Audio Source Separation
Generative Adversarial Network
GAN
Noise removal
Time Frequency Masking
Tactical, Hearing Protection
Phase Estimation
Impulse
Intelligibility
Complex Masking
Online Access:https://hdl.handle.net/1721.1/130559

Internet

https://hdl.handle.net/1721.1/130559

Similar Items