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
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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 (app) - Wikipedia Whisper (app) Whisper was a free proprietary mobile app It was a form of anonymous social media, allowing users to post and share photo and video messages anonymously, [4][5] although this claim has been challenged with privacy concerns over Whisper's handling of user data [6]
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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 Transcription: How It Works How to Use It | WhisperAI Whisper is OpenAI's open-source speech-to-text model, and "Whisper transcription" is what people mean when they use it to turn audio into readable text This guide covers what it actually does, the four practical ways to run it, where it quietly fails, and when it earns its keep
openai whisper-large-v3 · Hugging Face Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI