erickrib/OffensiveAudioClassifier
The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.
This tool helps iOS app developers integrate real-time voice-based content moderation into their applications. It takes live audio input, transcribes it into text, and then classifies that text as neutral, offensive, or hate speech. App developers, product managers, and trust & safety teams can use this to enhance user experience by automatically identifying and flagging inappropriate audio content.
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Use this if you are an iOS developer building an app that needs to automatically detect and flag offensive language or hate speech from user-generated audio.
Not ideal if your application requires content moderation for languages other than English, or if you need to analyze pre-recorded audio files rather than real-time input.
Stars
8
Forks
—
Language
Swift
License
MIT
Category
Last pushed
Jun 11, 2024
Commits (30d)
0
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