Whisper (OpenAI)
Pricing model
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Whisper is a publicly available system for automatic speech recognition, developed using 680,000 hours of multilingual and multi-task supervised data sourced from the internet. It is crafted to effectively handle various accents, background noise, and technical jargon, and it can convert and translate spoken language in numerous tongues into English. This straightforward end-to-end method is executed as an encoder-decoder Transformer. Additionally, it can identify languages and provide timestamps at the phrase level. It aims to offer ease of use and high precision, enabling developers to integrate voice interfaces into more applications.
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Whisper is a publicly available system for automatic speech recognition, developed using 680,000 hours of multilingual and multi-task supervised data sourced from the internet. It is crafted to effectively handle various accents, background noise, and technical jargon, and it can convert and translate spoken language in numerous tongues into English. This straightforward end-to-end method is executed as an encoder-decoder Transformer. Additionally, it can identify languages and provide timestamps at the phrase level. It aims to offer ease of use and high precision, enabling developers to integrate voice interfaces into more applications.