Published December 7, 2023 | Version v1
Dataset Restricted

SLURP-Fr Real

  • 1. ROR icon Idiap Research Institute

Description

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:

  1. 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.
  2. SLURP -Es, a similar dataset based on the parallel Spanish portion of MASSIVE, containing only synthetic samples.
  3. 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.

Files

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Additional details

Funding

Storytelling and first impressions in face-to-face and algorithm-powered digital interviews 197479
Swiss National Science Foundation