Abstract:
This paper reports on the design and outcomes of the 2nd Clarity Enhancement Challenge (CEC2), a challenge for stimulating novel approaches to hearing-aid speech intellig...Show MoreMetadata
Abstract:
This paper reports on the design and outcomes of the 2nd Clarity Enhancement Challenge (CEC2), a challenge for stimulating novel approaches to hearing-aid speech intelligibility enhancement. The challenge was for a listener attending to a target speaker in a noisy, domestic environment. The challenge extends the previous edition, CEC1, in a number of key respects: scenes have multiple interferers including speech, noise and music; ambisonics are used to model listener head movement; target speaker identity is provided to encourage speaker extraction approaches. Systems are evaluated both via the HASPI intelligibility metric and with listening tests using a panel of hearing-impaired listeners. The paper reviews the 18 systems that were submitted describing them in terms of their enhancement and amplification stages. HASPI is seen to be a good predictor of listener performance. The top system, using carefully engineered neural approaches, produces highly intelligible signals for complex scenes with SNRs down to -12 dB while obeying the challenges 5 ms latency constraint.
Published in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 04-10 June 2023
Date Added to IEEE Xplore: 05 May 2023
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School of Medicine, University of Nottingham, UK
Department of Computer Science, University of Sheffield, UK
Department of Computer Science, University of Sheffield, UK
Acoustics Research Centre, University of Salford, UK
School of Psychology, Cardiff University, UK
Acoustics Research Centre, University of Salford, UK
School of Medicine, University of Nottingham, UK
Acoustics Research Centre, University of Salford, UK
Department of Computer Science, University of Sheffield, UK
School of Medicine, University of Nottingham, UK
Department of Computer Science, University of Sheffield, UK
Department of Computer Science, University of Sheffield, UK
Acoustics Research Centre, University of Salford, UK
School of Psychology, Cardiff University, UK
Acoustics Research Centre, University of Salford, UK
School of Medicine, University of Nottingham, UK
Acoustics Research Centre, University of Salford, UK
Department of Computer Science, University of Sheffield, UK