Skip to Main content Skip to Navigation
New interface
Conference papers

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

Abstract : 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.
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03601281
Contributor : Titouan Parcollet Connect in order to contact the contributor
Submitted on : Tuesday, March 8, 2022 - 10:47:49 AM
Last modification on : Monday, July 4, 2022 - 9:09:27 AM
Long-term archiving on: : Thursday, June 9, 2022 - 7:06:21 PM

File

timers_and_such_a_practical_be...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03601281, version 1

Citation

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⟩

Share

Metrics

Record views

18

Files downloads

11