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.
The media player for language learning, with dual subtitles, AI-generated subtitles, real-time translation, and more!
.NET library for the OpenAI service API by Betalgo Ranul
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Running speech to text model (whisper.cpp) in Unity3d on your local machine.
TypeWhisper for Windows - Local speech-to-text with translation
.NET 7 SDK for OpenAI with a Blazor Server playground
Jellyfin plugin for local AI-powered subtitle generation using Whisper - all processing stays on your server
AI Speech Solutions for Tasks such as ASR, Vocal Extraction, Accompaniment Extraction, Audio Denoising, and Enhancement, Support models such as paraformer, sensevoice, fireredasr, zipformer, moonshine, wenet, whisper, fsmn-vad, silero-vad, CT Transformer punc, Spleeter, Uvr5, etc, apply ONNX models in various scenarios.
Create subtitles with ease, using Whisper AI for Windows
The world’s first game framework that lets you talk to AI in real time — locally. Supports any custom voice.
Running speech-to-text in a Meta Quest headset using OpenAI's Whisper tiny model
C# Generative AI SDK - Text, Image, Video and Audio supported
Correct chapter marks for your audiobooks - by actually listening to them. Whisper-based chapter detection for m4b/mp3/opus/mka.
Pluggable real-time audio conversation framework for .NET. Local VAD, STT, TTS, and LLM
A blazing-fast, offline push-to-talk voice assistant. Features real-time Whisper.net transcription, auto-typing under caret, smart VAD, and seamless translation to English.
DevExtremeAI is a library with full and complete implementation of all OpenAI's APIs.
Run, fine-tune and serve real LLMs entirely in-process in .NET — on the CPU, on-device, offline. No Python, no GPU, no cloud.
Created by OpenAI
Released August 2021
Latest release about 1 year ago