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4. Aipnet: Generative Adversarial Pre-Training Of Accent-Invariant Networks For End-To-End Speech Recognition

Aipnet: Generative Adversarial Pre-Training Of Accent-Invariant Networks For End-To-End Speech Recognition

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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Aipnet: Generative Adversarial Pre-Training Of Accent-Invariant Networks For End-To-End Speech Recognition

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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