Port of OpenAI's Whisper model in C/C++
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Distribute and run LLMs with a single file.
- cross-platform
- gguf
- llama-cpp
- local-ai
Faster Whisper transcription with CTranslate2
- deep-learning
- inference
- quantization
- speech-recognition
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
- pytorch
- speech-recognition
- paraformer
- punctuation
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
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.
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
Collection of ASR models for English TFLite models for faster inference.