| Autor: |
Anurag Rathore, Anmol Kumar, Aman Negi, Nidhi Chandra |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:436-439 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.51463 |
| Popis: |
In the topic, speech recognition there is a rapid increasing in it into area of engineering technology. Speech recognition delivers many different kinds of pros and it's been uses in a multiple field. Having a different type of language placed a restriction of talking between people. From this project we will going to create and develop to supports different systems that allows persons in that place or situation to change of data through interacting with end device users by voice or speech, after developing this project we will destroy the barriers of communication. This project takes that into consideration and makes an attempt to guarantee that it can identify speech and transform audio input into text. The speech is converted into text format. To overcome the offensive content in real-time every social media platform should implement an effectual hate speech detection system. There are many ways from that we can classify hate speech such as Machine Learning, Rule Based, Deep Learning Based and Hybrid |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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