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Sep 21, 2022 · 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 general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. The Whisper v2-large model is currently available through our API with the whisper-1 model name.
Mar 5, 2024 · It’s the latest AI model from OpenAI that helps you to automatically convert speech to text. Transforming audio into text is now simpler and more accurate, thanks to OpenAI’s Whisper. This article will guide you through using Whisper to convert spoken words into.
Apr 24, 2024 · Whisper, the speech-to-text model we open-sourced in September 2022, has received immense praise from the developer community but can also be hard to run. We’ve now made the large-v2 model available through our API, which gives convenient on-demand access priced at $0.006 / minute.
Use this model. Edit model card. 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.
Model details. Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model. It was trained on 680k hours of labelled speech data annotated using large-scale weak supervision. The models were trained on either English-only data or multilingual data.
The Audio API provides two speech to text endpoints, transcriptions and translations, based on our state-of-the-art open source large-v2 Whisper model. They can be used to: Transcribe audio into whatever language the audio is in. Translate and transcribe the audio into english.
We call our approach Whisper2. We demonstrate models trained at this scale transfer well to existing datasets zero-shot, removing the need for any dataset-specific fine-tuning to achieve high-quality results. In addition to scale, our work also focuses on broaden-ing the scope of weakly supervised pre-training beyond
Mar 1, 2023 · Priced at $0.006 per minute, Whisper is an automatic speech recognition system that OpenAI claims enables “robust” transcription in multiple languages as well as translation from those languages...
