QwenAudio/SenseVoice

Robust Speech Recognition via Large-Scale Weak Supervision

Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.

ASRDeepspeech x Sakura-ML (English/Japanese) with deepspeech2 model in pytorch with support from Zakuro AI.

A SOTA Industrial-Grade Voice Activity Detection & Audio Event Detection, supporting 100+ languages, outperforming Silero-VAD, TEN-VAD, FunASR-VAD and WebRTC-VAD

ComfyUI custom nodes for Qwen3-ASR (Automatic Speech Recognition) - audio-to-text transcription supporting 52 languages and dialects.

Qwen3-ASR is an open-source series of ASR models developed by the Qwen team at Alibaba Cloud, supporting stable multilingual speech/music/song recognition, language detection and timestamp prediction.

Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

Open-source speech AI models from KRAFTON, including Raon-Speech and Raon-SpeechChat for speech understanding, generation, and real-time full-duplex conversation.