Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
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OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios
XMLEncoder & XMLDecoder using the Codable protocol in Swift 4.2
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e
Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Won Apple's Global WWDC23 Swift Student Challenge.
Capacitor Plugin implementing Language Identification on Android & iOS using Google's on-device ML library - ML Kit
- capacitor-plugin
- mlkit
- language-identification
- android
Cognitive capabilities with iOS Core ML and Watson Visual Recognition
- ibm-cloud
- ibm
- ibm-watson
- visual-recognition