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Title
Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation
File(s)
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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
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