Port of OpenAI's Whisper model in C/C++
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Faster Whisper transcription with CTranslate2
- deep-learning
- inference
- quantization
- speech-recognition
Distribute and run LLMs with a single file.
- cross-platform
- gguf
- llama-cpp
- local-ai
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
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
Sub-50mb agentic, voice and vision intelligence for consumer devices.
- cactus
- llm
- on-device-ai
- edge-ai
Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model. Windows, iOS testflight! Android, Linux waitlist open! A local Wispr Flow alternative. Follow https://x.com/fluidvoiceapp for more
A PyTorch-based Speech Toolkit
- speech-recognition
- speech-toolkit
- speaker-recognition
- speech-to-text
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
- python
- realtime
- speech-to-text
End-to-End Speech Processing Toolkit
- deep-learning
- end-to-end
- chainer
- pytorch
On-device Speech AI for Apple Silicon
- inference
- ios
- speech-recognition
- swift
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
- ai
- amd-gpu
- apple-silicon
- asr
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.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
TranslatedMeetDo — open-source Meeting-to-Action AI by 筑听 (Zhuting, "build listen") · JKinco Listen. Self-hosted live meetings, local ASR/LLM, structured minutes, DOCX/PDF.
- docker
- fastapi
- funasr
- local-first
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Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.
- audio-processing
- fastapi
- japanese
- librosa
A tool for automatic phoneme transcription
- speech-recognition
- machine-learning
- acoustic-models
- artificial-intelligence
Meeper 📝 - is your secretary for any in-browser conference.
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.