The "Awesome Whisper" project is a curated collection of resources centered around Whisper, an open-source AI-powered speech recognition system developed by OpenAI. This list encompasses various tools, libraries, tutorials, and community contributions that facilitate the use of Whisper for speech-to-text applications. It serves as a valuable resource for developers, researchers, and enthusiasts looking to implement or enhance their projects with advanced speech recognition capabilities. Whether you're a beginner exploring the technology or an experienced developer seeking to optimize your applications, this collection provides essential insights and tools to harness the power of Whisper effectively.
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The "Awesome" project is a comprehensive exploration of recursion, a fundamental programming technique where a function calls itself to solve problems. This list covers various aspects of recursion, including visual illustrations, examples, and explanations that help demystify the concept. It is beneficial for beginners looking to grasp the basics of recursion, as well as experienced developers seeking to refine their understanding or find new applications for recursive solutions. With a variety of resources available, users can deepen their knowledge and enhance their coding skills through practical examples and insightful discussions.
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High-performance C/C++ port of OpenAI's Whisper for efficient, cross-platform speech recognition.
A high-performance C/C++ port of OpenAI's Whisper model for efficient, cross-platform speech recognition.
Fast automatic speech recognition with accurate word-level timestamps and speaker diarization, built on OpenAI's Whisper.
A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.
A JAX implementation of OpenAI's Whisper model offering up to 70x faster transcription on TPUs.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
An offline desktop application for transcribing and translating audio/video files, live recordings, and YouTube links using OpenAI's Whisper.
A native macOS voice-to-text app that transcribes speech to text instantly with 100% offline processing.
A versatile tool for generating, translating, and syncing subtitles from audio/video using Whisper and other AI models via Web UI, CLI, or Python.
A web service providing a GUI and API with queuing for OpenAI Whisper transcription and translation.
A free web application that transcribes and translates audio files using OpenAI's Whisper and Chat APIs.