Dr. Rahhal ERRATTAHI

Assistant professor


Curriculum vitae


Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection


Journal article


Asmaa El Hannani, Rahhal Errattahi, Fatima Zahra Salmam, Thomas Hain, Hassan Ouahmane
Journal of Big Data, vol. 8(1), 2021 6, pp. 1-16

Cite

Cite

APA   Click to copy
Hannani, A. E., Errattahi, R., Salmam, F. Z., Hain, T., & Ouahmane, H. (2021). Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection. Journal of Big Data, 8(1), 1–16.


Chicago/Turabian   Click to copy
Hannani, Asmaa El, Rahhal Errattahi, Fatima Zahra Salmam, Thomas Hain, and Hassan Ouahmane. “Evaluation of the Effectiveness and Efficiency of State-of-the-Art Features and Models for Automatic Speech Recognition Error Detection.” Journal of Big Data 8, no. 1 (December 6, 2021): 1–16.


MLA   Click to copy
Hannani, Asmaa El, et al. “Evaluation of the Effectiveness and Efficiency of State-of-the-Art Features and Models for Automatic Speech Recognition Error Detection.” Journal of Big Data, vol. 8, no. 1, Dec. 2021, pp. 1–16.


BibTeX   Click to copy

@article{asmaa2021a,
  title = {Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection},
  year = {2021},
  month = dec,
  day = {6},
  issue = {1},
  journal = {Journal of Big Data},
  pages = {1-16},
  volume = {8},
  author = {Hannani, Asmaa El and Errattahi, Rahhal and Salmam, Fatima Zahra and Hain, Thomas and Ouahmane, Hassan},
  month_numeric = {12}
}


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