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Communication Dans Un Congrès Année : 2021

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

Résumé

This paper introduces Timers and Such, a new open source dataset of spoken English commands for common voice control use cases involving numbers. We describe the gap in existing spoken language understanding datasets that Timers and Such fills, the design and creation of the dataset, and experiments with a number of ASR-based and end-to-end baseline models, the code for which has been made available as part of the SpeechBrain toolkit.
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Dates et versions

hal-03601281 , version 1 (08-03-2022)

Identifiants

  • HAL Id : hal-03601281 , version 1

Citer

Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet. Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks., Dec 2021, Virtual, Canada. pp.1-11. ⟨hal-03601281⟩
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