microsoft/VibeVoiceGitHub
calls speech-swift “use it for an Apple Silicon MLX/CoreML voice toolkit with ASR/TTS/diarization; different language/runtime”
Open-Source Frontier Voice AI
53.1kPythonactive
soniqo/speech-swift Alternatives
speech-swift is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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These projects were analysed and named speech-swift among their alternatives. The relationship is not symmetric — how speech-swift rates them is a separate judgement, made when speech-swift is analysed in its own right.
NVIDIA-NeMo/SpeechGitHub
calls speech-swift “choose for Apple Silicon apps needing MLX/CoreML ASR, TTS, VAD, and diarization in Swift.”
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
18.3kPythonactive
alphacep/vosk-apiGitHub
calls speech-swift “Apple Silicon speech toolkit using MLX/CoreML, best for native Apple apps.”
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
15.1kJupyter Notebookactive
k2-fsa/sherpa-onnxGitHub
calls speech-swift “Use for Apple Silicon apps wanting MLX/CoreML-based ASR/TTS/VAD with tight Swift integration, rather than cross-platform ONNX.”
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
14.5kC++active
speechbrain/speechbrainGitHub
calls speech-swift “Choose when you want a Swift/MLX speech stack for Apple Silicon with no Python dependency.”
A PyTorch-based Speech Toolkit
11.8kPythonactive
moonshine-ai/moonshineGitHub
calls speech-swift “choose when you're on Apple Silicon and want MLX/CoreML-based ASR/TTS speech-to-speech with tight Swift integration.”
Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces
10.9kC++active
QuentinFuxa/WhisperLiveKitGitHub
calls speech-swift “when building Apple Silicon apps with MLX/CoreML and need a Swift speech toolkit”
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
10.9kPythonactive
Const-me/WhisperGitHub
calls speech-swift “MLX and CoreML based speech toolkit for Apple Silicon; choose it for fast on-device ASR in Swift.”
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
10.6kC++active
KoljaB/RealtimeSTTGitHub
calls speech-swift “Choose for Apple Silicon apps using MLX/CoreML; it is Swift-only and Apple-only.”
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
10.1kPythonactive
modelscope/FunASRGitHub
calls speech-swift “choose for Apple Silicon apps wanting MLX/CoreML speech models in Swift.”
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
20.0kPythonactive
espnet/espnetGitHub
calls speech-swift “Choose when building Swift/Apple Silicon apps needing native ASR/TTS with MLX/CoreML, not a cross-platform toolkit.”
End-to-End Speech Processing Toolkit
9.9kPythonactive