Mahaveer Jain — accepted AI-conference papers

2020

Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition

Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer

ICASSP 2020accepted

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 accents. For this purpose, we propose a novel pre-t…

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2019

End-to-end Contextual Speech Recognition Using Class Language Models and a Token Passing Decoder

Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen

ICASSP 2019accepted

End-to-end modeling (E2E) of automatic speech recognition (ASR) blends all the components of a traditional speech recognition system into a single, unified model. Although it simplifies the ASR systems, the unified model is hard to adapt when training and testing data mismatches. In this work, we fo…

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