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Results

The 2nd Clarity Enhancement Challenge is now complete. Results are shown below along with links to the system description papers. Further information can be found on the Clarity-CEC2-2022 workshop website here.

The table below reports both the HASPI and listener intelligibility scores for all the submitted systems. The column 'Spkr. ID' and 'Head Rot.' indicate whether systems made use of the speaker identity and head rotation information, respectively. Links to the system reports are also provided.

RankTeamIDPaperSpkr. IDHead Rot.HASPIListener
1T01E009Link0.96691.5
2T02E031LinkYes0.80178.1
3T03E008_hrLinkYes0.78452.8
4T03E008Link0.777
5T04E037Link0.77569.4
6T04E022Link0.72164.8
7T05E024_hrLinkYes0.6344.5
8T05E024Link0.617
9T06E036LinkYes0.59947.9
10T06E038LinkYes0.55434
11T07E032LinkYes0.54936
12T01Baseline0.25826.5
13T01None0.172

Prizes

The Hearing Industry Research Consortium prizes for systems with the best HASPI score were awarded as follows:

  • 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge
  • 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge
  • 3rd place: System E008_hr, Ouyang et al., The Orka Inc Entry to the 2nd Clarity Enhancement Challenge

The Hearing Industry Research Consortium prizes for systems providing the best listener intelligibility scores were awarded as follows:

  • 1st place: System E009, Cornell et al, Multi-channel Target Speaker Extraction with Refinement: The WAVLAB Submission to the Second Clarity Enhancement Challenge
  • 2nd place: System E031, Liu and Zhang, DRC-NET for The 2nd Clarity Enhancement Challenge
  • 3rd place: System E037, Lei et al., The Nanjing University / Horizon Robotics system for the 2nd Clarity Enhancement Challenge

Congratulations to the winners!