TIMIT

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set was used to report the results. It contains 192 utterances from 24 speakers, excluding the validation set.

Data and Resources

Cite this as

Anubhab Ghosh, Antoine Honor´e, Dong Liu, Gustav Eje Henter, Saikat Chatterjee (2024). Dataset: TIMIT. https://doi.org/10.57702/6qoexk4p

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/TASL.2013.2243435
Citation
  • https://doi.org/10.48550/arXiv.1808.00818
  • https://doi.org/10.48550/arXiv.1605.01329
  • https://doi.org/10.48550/arXiv.2202.12707
  • https://doi.org/10.48550/arXiv.2006.03265
  • https://doi.org/10.48550/arXiv.2001.06397
  • https://doi.org/10.48550/arXiv.2005.11437
  • https://doi.org/10.48550/arXiv.1606.05967
  • https://doi.org/10.48550/arXiv.2203.03190
  • https://doi.org/10.48550/arXiv.1709.03658
  • https://doi.org/10.48550/arXiv.1412.1602
  • https://doi.org/10.48550/arXiv.1811.05090
  • https://doi.org/10.48550/arXiv.1904.05862
  • https://doi.org/10.48550/arXiv.1506.02216
  • https://doi.org/10.48550/arXiv.2103.09007
  • https://doi.org/10.21437/SPSC.2022-3
  • https://doi.org/10.48550/arXiv.1703.08471
  • https://doi.org/10.48550/arXiv.1703.08002
  • https://doi.org/10.48550/arXiv.1908.05254
  • https://doi.org/10.48550/arXiv.2401.04511
  • https://doi.org/10.48550/arXiv.1312.6849
  • https://doi.org/10.48550/arXiv.2011.02109
  • https://doi.org/10.48550/arXiv.2307.16324
  • https://doi.org/10.48550/arXiv.2106.04878
  • https://doi.org/10.48550/arXiv.1805.01259
  • https://doi.org/10.1109/MLSP49062.2020.9231775
  • https://doi.org/10.48550/arXiv.1905.04874
  • https://doi.org/10.48550/arXiv.1710.10779
  • https://doi.org/10.48550/arXiv.1306.0543
  • https://doi.org/10.1109/ICASSP49357.2023.10097097
  • https://doi.org/10.1515/phon-2024-0015
  • https://doi.org/10.48550/arXiv.1412.7110
  • https://doi.org/10.48550/arXiv.1808.00158
  • https://doi.org/10.48550/arXiv.2107.00730
Author Anubhab Ghosh
More Authors
Antoine Honor´e
Dong Liu
Gustav Eje Henter
Saikat Chatterjee
Homepage https://www.nist.gov/speech-resources/timit