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

Ao Zhang, Fan Yu, Kaixun Huang, Lei Xie, Longbiao Wang, Eng Siong Chng, Hui Bu, Binbin Zhang, Wei Chen, Xin Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2022 13th International Symposium on Chinese Spoken Language Processing, ISCSLP 2022
EditorsKong Aik Lee, Hung-yi Lee, Yanfeng Lu, Minghui Dong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages507-511
Number of pages5
ISBN (Electronic)9798350397963
DOIs
StatePublished - 2022
Event13th International Symposium on Chinese Spoken Language Processing, ISCSLP 2022 - Singapore, Singapore
Duration: 11 Dec 202214 Dec 2022

Publication series

Name2022 13th International Symposium on Chinese Spoken Language Processing, ISCSLP 2022

Conference

Conference13th International Symposium on Chinese Spoken Language Processing, ISCSLP 2022
Country/TerritorySingapore
CitySingapore
Period11/12/2214/12/22

Keywords

  • Automatic speech recognition
  • in-vehicle speech recognition
  • intelligent cockpit

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