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Noisy Student Training: A leap forward in speech recognition

Noisy Student Training: A leap forward in speech recognition

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Can machines teach themselves to listen better? In this episode, we explore how the innovative "noisy student training" method—originally a game-changer for image classification—is now transforming automatic speech recognition. By combining self-training with smart data augmentation, researchers have achieved record-breaking word error rates on challenging datasets like LibriSpeech. Tune in to learn how this approach is setting new benchmarks in AI’s ability to understand and process human speech.


Link to research paper- https://arxiv.org/abs/2005.09629


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