State-of-the-art end-to-end automatic speech recognition (ASR) systems are becoming
increasingly complex and expensive for practical applications. This paper develops a high …

Recent end-to-end automatic speech recognition (ASR) models have become increasingly
larger, making them particularly challenging to be deployed on resource-constrained …

With the continuous development of deep neural networks (DNN) in recent years, the
performance of speaker verification systems has been significantly improved with the …

End-to-end models have shown superior performance for automatic speech recognition
(ASR). However, such models are often very large in size and thus challenging to deploy on …

How to develop lightweight systems customized for mobile devices is an urgent and
intriguing topic for speaker verification. In this paper, we investigate extremely low bit …