Argmax Oss Swift alternatives for AI agents.

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML

Port of OpenAI's Whisper model in C/C++

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Faster Whisper transcription with CTranslate2

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

The open-source iOS app that's making quality voice transcription more accessible on mobile devices.

🎤 The easiest way to transcribe audio in Swift

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

A PyTorch-based Speech Toolkit

Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Speech recognition module for Python, supporting several engines and APIs, online and offline.

End-to-End Speech Processing Toolkit

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.