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Aipnet: Generative Adversarial Pre-Training Of Accent-Invariant Networks For End-To-End Speech Recognition
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Aipnet: Generative Adversarial Pre-Training Of Accent-Invariant Networks For End-To-End Speech Recognition
As one of the major sources in speech variability, accents have posed a grand challenge to the robustness of speech recognition systems. In this paper, our goal is to build a unified end-to-end speech recognition system that generalizes well across accent
As one of the major sources in speech variability, accents have posed a grand challenge to the robustness of speech recognition systems. In this paper, our goal is to build a unified end-to-end speech recognition system that generalizes well across accent
