Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Repository Index
47,133 repositories indexed
1–7 of 7 · Most stars
Local speech-to-text for macOS on-device AI, fully private, optional cloud
- apple-silicon
- dictation
- macos
- on-device
:speech_balloon: A UI framework for building messenger interfaces on iOS
- swift
- messenger
- chat
:iphone: The Watson Swift SDK enables developers to quickly add Watson Cognitive Computing services to their Swift applications.
- ibm-watson-services
- ibm-watson-speech
- swift-4
- hacktoberfest
🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI
- voice
- voice-recognition
- voice-assistant
- voicetext
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
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