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  1. 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.

  2. Robust Speech Recognition via Large-Scale Weak Supervision - Releases · openai/whisper.

  3. 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.

  4. platform.openai.com › docs › modelsModels - OpenAI API

    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.

  5. Usage. Whisper large-v3 is supported in Hugging Face 🤗 Transformers. To run the model, first install the Transformers library through the GitHub repo. For this example, we'll also install 🤗 Datasets to load toy audio dataset from the Hugging Face Hub: pip install --upgrade pip.

  6. huggingface.co › WhisperSpeech › WhisperSpeechWhisperSpeech - Hugging Face

    An Open Source text-to-speech system built by inverting Whisper. Previously known as spear-tts-pytorch. We want this model to be like Stable Diffusion but for speech – both powerful and easily customizable.

  7. 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 several other languages, [3] and is also capable of translating several non-English languages into English.

  8. 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.

  9. The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into English (speech translation).

  10. pypi.org › project › openai-whisperopenai-whisper · PyPI

    Nov 17, 2023 · 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.