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Semi-supervised learning on frame-based phoneme classification

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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. See the report for more details. This project is part of the course DT2119 Speech and Speaker Recognition at KTH.

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pip install dualstudent-asr

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Semi-supervised learning on frame-based phoneme classification

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