SLURP-Fr/Es

Description
This is the synthetic portion of the SLURP-Fr and SLURP-Es dataset, which are parts 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.