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Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning

Xuankai Chang, Brian Yan, Yuya Fujita, Takashi Maekaku, Shinji Watanabe

202338 citationsDOI

Topics & Concepts

End-to-end principleComputer scienceDiscretizationArtificial intelligenceEnd userMathematicsOperating systemMathematical analysisFault Detection and Control SystemsMachine Learning and ELM
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning | Litcius