SLURP-Fr Real

Description This is the real test portion of the SLURP-Fr dataset, which is a part of the dataset created for the studies on interpreter-aided spoken language understanding (SLU) in the paper below, with three different parts: SLURP-Fr, an end-to-end SLU dataset based on the French portion of MASSIVE (https://github.com/alexa/massive), containing 16,521 synthetic audio samples created using Google TTS, accompanied with 477 real test samples collected from two French speakers at Idiap. SLURP -Es, a similar dataset based on the parallel Spanish portion of MASSIVE, containing only synthetic samples. Spoken Gigaword, a speech summarization dataset generated from Gigaword (https://www.tensorflow.org/datasets/catalog/gigaword), containing 51,385 synthetic audio samples created using Google TTS. Reference If you use this dataset, please cite the following publication: He, Mutian, and Philip N. Garner. "The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation." Findings of EMNLP 2023.