Dual Student for Automatic Speech Recognition
Dual Student is a semi-supervised learning algorithm originally introduced for image classification by Ke et al. In this work, we implement, validate and extend it for Automatic Speech Recognition (ASR). See the report for more details. This project is part of the course DT2119 Speech and Speaker Recognition at KTH.
How to install
pip install dualstudent-asr
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Metadata
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Release files for dualstudent-asr 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| dualstudent-asr-0.1.2.tar.gz | 5.6 MB | Without provenance | Details for dualstudent-asr-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| dualstudent_asr-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for dualstudent_asr-0.1.2-py3-none-any.whl |
Total release size: 5.6 MB
Release files / dualstudent-asr-0.1.2.tar.gz
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Release files / dualstudent_asr-0.1.2-py3-none-any.whl
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| Tags | Python 3 |
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