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Create the data splits and the annotation files
-get the dataset audio from:[https://datacollective.mozillafoundation.org/datasets/cmflnuzw71qkz8x3kil3tgjvk]
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get the textGrid from: https://huggingface.co/datasets/pacscilab/VoxCommunis/tree/main/textgrids
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test languages:
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Japanese(jp), espagnole?(es),Mandarin (zh-CN), basque(eu)
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To-add: Germain,English, frensh
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dev languages:
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Turkish, ukrainian, Tamil, thai
- Convert to wav and reasmple audio files
- Prepare dataset splits based on the validate file and sets from cm
- Merge all the output files to have a best distribution
- order speaker based on speech duration
- split sets balanced with dev,test 2hours each and all the rest to train
- align files
- correct phones
- phonebase item files
- triphone item files
- clean and correct item files
- copy audio files for dev and test
- cereate subfolders and copy audio files for train set
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Release files for discophon.builder 0.0.2
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| discophon_builder-0.0.2.tar.gz | 15.7 kB | Details |
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| discophon_builder-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.0 kB
Release files / discophon_builder-0.0.2.tar.gz
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uv/0.9.14 {"installer":{"name":"uv","version":"0.9.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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