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...
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| Format: | Dataset |
| Language: | en_US |
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2021
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| Online Access: | https://hdl.handle.net/1721.1/130559 |
| _version_ | 1811085731053961216 |
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| author | Piercy, Phoebe |
| author_facet | Piercy, Phoebe |
| author_sort | Piercy, Phoebe |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:14:46Z |
| format | Dataset |
| id | mit-1721.1/130559 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:14:46Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | mit-1721.1/1305592021-05-06T17:58:14Z Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation Piercy, Phoebe Audio Source Separation Generative Adversarial Network GAN Noise removal Time Frequency Masking Tactical, Hearing Protection Phase Estimation Impulse Intelligibility Complex Masking 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. 2021-05-06T17:57:19Z 2021-05-06T17:57:19Z 2021-04 Dataset https://hdl.handle.net/1721.1/130559 en_US Music dataset comes from the The MUSDB18 corpus for music separation. Speech audio is taken from the Common Voice by Mozilla dataset (https://commonvoice.mozilla.org/en). Tactical sounds and commands are taken from the Military Sound Repository (https://militarysounds.org/home/browse/), the and the Modified Rhyme Test Audio Library (https://www.nist.gov/ctl/pscr/modified-rhyme-test-audio-library). application/zip |
| spellingShingle | Audio Source Separation Generative Adversarial Network GAN Noise removal Time Frequency Masking Tactical, Hearing Protection Phase Estimation Impulse Intelligibility Complex Masking Piercy, Phoebe Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title | Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title_full | Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title_fullStr | Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title_full_unstemmed | Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title_short | Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Estimation |
| title_sort | improving impulse audio source separation using generative adversarial networks for phase estimation |
| topic | Audio Source Separation Generative Adversarial Network GAN Noise removal Time Frequency Masking Tactical, Hearing Protection Phase Estimation Impulse Intelligibility Complex Masking |
| url | https://hdl.handle.net/1721.1/130559 |
| work_keys_str_mv | AT piercyphoebe improvingimpulseaudiosourceseparationusinggenerativeadversarialnetworksforphaseestimation |