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.
An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine
Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI
Build real time speech2text web apps using OpenAI's Whisper https://openai
The open-source iOS app that's making quality voice transcription more accessible on mobile devices
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU
💬📝 A small dictation app using OpenAI's Whisper speech recognition model
🤖 A Telegram bot that integrates with OpenAI's official ChatGPT APIs to provide answers, written in Python
🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants 🎞️
Transcribe and translate voice into LRC file using Whisper and LLMs (GPT, Claude, et,al)