INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Selvaraj A
, Sharukesh B , Trinity E , Yogeshwaran P
Unique Id:
IJSDR2304056
Published In:
Volume 8 Issue 4, April-2023
Abstract:
The aim of this paper is to review machine learning algorithms and techniques for hate speech detection in given audio file. Hate speech problem is normally modeled as an audio classification task. In input audio signal data, there have been improvements in ML algorithms that were employed for hate speech detection over time. In this process, the model is going to find or detect speech recognition such as hate words, offensive words, profanity words and standard words. Then they are going to be the class variable of our dataset classes. In this approach, machine learning algorithms will be implemented to analyze the process to find the accuracy, precision, and f1-score.
"Audio Profanity Detection and Reduction Using MLP ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.286 - 290, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304056.pdf
Downloads:
000337212
Publication Details:
Published Paper ID: IJSDR2304056
Registration ID:205065
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 286 - 290
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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