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

Piercy, Phoebe

Title

File(s)

Download

Name

Thesis_Audio_Files_Phoebe_Piercy.zip

Description

Zip of audio files with readme

Size

148.33 MB

Format

ZIP

Checksum (MD5)

63daa0e73e7470804541fabb1c5dda25

Date Issued

2021-04

Author(s)

Piercy, Phoebe

Abstract

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 a numbering system according to the thesis section they correspond to, and should be listened to alongside the included plots. Also included are Modified Rhyme Test testing files.

Subjects

Audio Source Separation

Generative Adversarial Network

GAN

Noise removal

Time Frequency Masking

Tactical, Hearing Protection

Phase Estimation

Impulse

Intelligibility

Complex Masking