NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

1 code implementation • 21 Jun 2023 • Kamer Ali Yuksel, Thiago Ferreira, Golara Javadi, Mohamed El-Badrashiny, Ahmet Gunduz

The self-supervised NoRefER exploits the known quality relationships between hypotheses from multiple compression levels of an ASR for learning to rank intra-sample hypotheses by quality, which is essential for model comparisons.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4