A complete rework of Whisper ASR that eliminates hallucinations and drastically improves accuracy. Built using over 1.5 million hours of audio, including phone and noisy data
while being 2x faster
More on technical implementation, see developer docs.
professional use cases
Can do any-to-any language translations
Translation from any language to English only
Enhanced language detection
plus URL support (YouTube, Vimeo, etc)
Today, we're thrilled to release a new breakthrough ASR system, Whisper-Zero —a complete rework of Whisper combined with multiple state-of-the-art models, using over 1.5 million hours of diverse audio, including phone-quality and noisy data from real-life environments.
Here’s how we optimized Whisper ASR for enterprise scale
In this article, we give you a breakdown of features and parameters that distinguish Gladia API from both open-source and API versions of OpenAI’s Whisper ASR model.
Thinking of using open-source Whisper ASR? Here are the main factors to consider
Perhaps you’re a developer looking for an Automatic Speech Recognition (ASR) solution for the first time. Or an executive looking for more affordable, faster, more accurate alternatives to the mainstream speech-to-text solutions for your business. Where do you turn to?
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