# Overview Of The 2023 Icassp Sp Clarity Challenge: Speech Enhancement For Hearing Aids

arXiv: https://arxiv.org/abs/2311.14490 · HTML: https://mlsanity.com/paper/2311.14490/

## Key facts

- Cited by 6 papers in the map (data through 19 Oct 2026).
- First posted on arXiv 24 Nov 2023.

## Built on by (most cited first, 6 of 6)

- [AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement](https://mlsanity.com/paper/2501.15417/) (2025)
- [SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR](https://mlsanity.com/paper/2403.10271/) (2024)
- [Ultra-Low Latency Speech Enhancement - A Comprehensive Study](https://mlsanity.com/paper/2409.10358/) (2024)
- [ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement](https://mlsanity.com/paper/2407.19485/) (2024)
- [Mixture to Beamformed Mixture: Leveraging Beamformed Mixture as Weak-Supervision for Speech Enhancement and Noise-Robust ASR](https://mlsanity.com/paper/2507.15229/) (2025)
- [A Probabilistic Generative Model for Spectral Speech Enhancement](https://mlsanity.com/paper/2603.28436/) (2026)

## Abstract (arXiv)

This paper reports on the design and outcomes of the ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. The scenario was a listener attending to a target speaker in a noisy, domestic environment. There were multiple interferers and head rotation by the listener. The challenge extended the second Clarity Enhancement Challenge (CEC2) by fixing the amplification stage of the hearing aid; evaluating with a combined metric for speech intelligibility and quality; and providing two evaluation sets, one based on simulation and the other on real-room measurements. Five teams improved on the baseline system for the simulated evaluation set, but the performance on the measured evaluation set was much poorer. Investigations are on-going to determine the exact cause of the mismatch between the simulated and measured data sets. The presence of transducer noise in the measurements, lower order Ambisonics harming the ability for systems to exploit binaural cues and the differences between real and simulated room impulse responses are suggested causes