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The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge : Dataset, Tracks, Baseline and Results

2022-11-03 04:45:28
Ao Zhang, Fan Yu, Kaixun Huang, Lei Xie, Longbiao Wang, Eng Siong Chng, Hui Bu, Binbin Zhang, Wei Chen, Xin Xu
arXiv_SD
       
Abstract

This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce the associated dataset collected from a new-energy vehicle (NEV) covering a variety of cockpit acoustic conditions and linguistic contents. We then describe the track arrangement and the baseline system. Specifically, we set up two tracks in terms of allowed model/system size to investigate resource-constrained and -unconstrained setups, targeting to vehicle embedded as well as cloud ASR systems respectively. Finally we summarize the challenge results and provide the major observations from the submitted systems.

Abstract (translated)

URL

https://arxiv.org/abs/2211.01585

PDF

https://arxiv.org/pdf/2211.01585.pdf

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