Whisper AI transcription. Transcribe audio with highly accurate results using OpenAI Whisper. Unlimited AI transcription, 100+ languages, speaker labels. Try free.
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 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 is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and multiple other languages, and can translate several non-English languages into English. [1] .
A revolutionary browser-based AI speech recognition platform that brings OpenAI's powerful Whisper model directly to your web browser. No downloads, no installations - just instant, accurate speech-to-text conversion.
The meaning of WHISPER is to speak softly with little or no vibration of the vocal cords especially to avoid being overheard. How to use whisper in a sentence.
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need for fine-tuning.
In this article, you learn about the Whisper model from OpenAI that you can use for speech to text and speech translation.