DEAR, a new hearable-focused benchmark of 1,158 audio tracks, shows that the BEATs audio foundation model outperforms Wav2Vec2, HuBERT, and WavLM across context, source, and acoustic-property tasks.
Speech en- hancement for hearing-impaired listeners using deep neural networks with auditory-model based features,
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Evaluation of Deep Audio Representations for Hearables
DEAR, a new hearable-focused benchmark of 1,158 audio tracks, shows that the BEATs audio foundation model outperforms Wav2Vec2, HuBERT, and WavLM across context, source, and acoustic-property tasks.