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Jinhua Peng

1 accepted papers

2020

A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition

IJCAI 2020poster

Due to the rising awareness of privacy protection and the voluminous scale of speech data, it is becoming infeasible for Automatic Speech Recognition (ASR) system developers to train the acoustic model with complete data as before. In this paper, we propose a novel Divide-and-Merge paradigm to solve…

Cited by 0SourcePDFScholar