HATS supplies human side-by-side preference judgments on ASR transcripts to measure correlation with lexical and embedding-based evaluation metrics.
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
HATS supplies human side-by-side preference judgments on ASR transcripts to measure correlation with lexical and embedding-based evaluation metrics.