Introducing Whisper - OpenAI Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language
Whisper AI - Professional Voice to Text Transcription Whisper AI transcription Transcribe audio with highly accurate results using OpenAI Whisper Unlimited AI transcription, 100+ languages, speaker labels Try free
GitHub - openai whisper: Robust Speech Recognition via Large-Scale Weak . . . Whisper is a general-purpose speech recognition model It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification
Whisper (speech recognition system) - Wikipedia Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022 [4] It is capable of transcribing speech in English and multiple other languages, and can translate several non-English languages into English [1]
Whisper - a Hugging Face Space by openai This app lets you upload or record an audio file (or provide a YouTube link) and quickly turn the spoken words into written text Choose whether you want a plain transcription or a translation, the
Which Whisper Model Should I Choose? Compare every Whisper model — tiny, base, small, medium, large-v1, large-v2, large-v3 — and learn which to pick for accuracy, speed, and cost
Whisper for Windows: Offline Speech-to-Text Desktop App Whisper for Windows operates 100% offline, ensuring that your data stays on your device and never leaves your computer This privacy-first approach means you can transcribe your audio files without worrying about data breaches or unauthorized access to your sensitive information