Profanity Detection from Audio Recordings Using Natural Language Processing Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9811-1_32
Reference17 articles.
1. Wazir ASB et al (2021) Design and implementation of fast spoken foul language recognition with different end-to-end deep neural network architectures. Sensors (Switzerland) 21(3):1–18. https://doi.org/10.3390/s21030710
2. Hamdy E (2021) Neural models for offensive language detection. [Online]. Available: http://arxiv.org/abs/2106.14609
3. Riera J, Alquézar R (2020) Applied NLP and ML for the detection of inappropriate text in a communication platform. Aitor Urrutia Zubikarai, Jan 2020
4. Liu B et al (2020) Integrating natural language processing computer vision into an interactive learning platform. In: 2020 IEEE MIT undergraduate research technology conference, URTC 2020, pp 1–13. https://doi.org/10.1109/URTC51696.2020.9668869
5. Pathak GR, Premi MSG, Patil SH (2019) LSSCW: a lightweight security scheme for cluster based wireless sensor network. Int J Adv Comput Sci Appl 10(10):448–460. https://doi.org/10.14569/ijacsa.2019.0101062
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