- 10 Oct, 2022 1 commit
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Zhaoheng Ni authored
Summary: Besides the unit test, the PR also addresses these issues: - The original `LibriMix` dataset only supports "min" mode, which means the audio length is the minimum of all clean sources. It is default for source separation task. Users may also want to use "max" mode which allows for end-to-end separation and recognition. The PR adds ``mode`` argument to let users decide which dataset they want to use. - If the task is ``"enh_both"``, the target is the audios in ``mix_clean`` instead of separate clean sources. The PR fixes it to use ``mix_clean`` as target. Pull Request resolved: https://github.com/pytorch/audio/pull/2659 Reviewed By: carolineechen Differential Revision: D40229227 Pulled By: nateanl fbshipit-source-id: fc07e0d88a245e1367656d3767cf98168a799235
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