For the Clarity speech intelligibility task, a single encoder layer plus a temporal transformer head and a three-model ensemble beats use-all-layers pooling.
Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners
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Unveiling the Best Practices for Applying Speech Foundation Models to Speech Intelligibility Prediction for Hearing-Impaired People
For the Clarity speech intelligibility task, a single encoder layer plus a temporal transformer head and a three-model ensemble beats use-all-layers pooling.