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• [INTERSPEECH 2022 Series #2] FedNST: Federated Noisy Student Training for Automatic Speech Recognition

  Voice assistants have seen an ever-increasing uptake by consumers’ worldwide leading to the availability of vast amounts of real-world speech data. Research efforts around the world focus on effectively leveraging this data to improve the accuracy and robustness of state-of-the-art automatic speech recognition (ASR) models.

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• FedNST: Federated Noisy Student Training for Automatic Speech Recognition

  AuthorHaaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay

  PublishedAnnual Conference of the International Speech Communication Association(INTERSPEECH)

  Date2022-09-30

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• [Blog] [INTERSPEECH 2022 Series #2]FedNST: Federated Noisy Student Training for Automatic Speech Recognition

  Voice assistants have seen an ever-increasing uptake by consumers’ worldwide leading to the availability of vast amounts of real-world speech data. Research efforts around the world focus on effectively leveraging this data to improve the accuracy and robustness of state-of-the-art automatic speech recognition (ASR) models.

• [Blog] [INTERSPEECH 2022 Series #2] FedNST: Federated Noisy Student Training for Automatic Speech Recognition

  Voice assistants have seen an ever-increasing uptake by consumers’ worldwide leading to the availability of vast amounts of real-world speech data. Research efforts around the world focus on effectively leveraging this data to improve the accuracy and robustness of state-of-the-art automatic speech recognition (ASR) models.

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