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Whisper

Whisper is an autoregressive language model developed by OpenAI. It is trained on a large corpus of text using a transformer architecture and is capable of generating high-quality natural language text. Whisper can be used for tasks such as language modeling, text completion, and text generation. It has shown impressive performance on various benchmarks and has been released by OpenAI to encourage research in the field of language modeling. Whisper is not yet available for public use, but it has the potential to transform the field of natural language processing and generate new opportunities for language-based applications.

Here are 2,232 public repositories matching this topic...

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.

  • Updated Oct 20, 2025
  • Python
meeting-minutes

Open-source Rust based AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization. 100% local processing. no cloud required. Meetily (Meetly Ai - https://meetily.ai) is the #1 Self-hosted Ai meeting note taker for macOS & Windows.

  • Updated Dec 12, 2025
  • Rust
voice-pro

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.

  • Updated Dec 5, 2025
  • Python

Created by OpenAI

Released August 2021

Latest release 6 months ago

Followers
157 followers
Repository
openai/whisper
Website
github.com/topics/whisper

Related topics

artificial-intelligence language-modeling machine-learning