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Whisper

A general-purpose speech recognition model by OpenAI.

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Audio
Voice & Transcription
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Overview
ABOUT

Whisper is a general-purpose speech recognition model developed by OpenAI. 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. Whisper uses a Transformer sequence-to-sequence model trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets.

USE CASE

Voice & Transcription

KEY FEATURES

Multilingual speech recognition; Speech translation; Language identification; Voice activity detection

Meta
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Enterprise Custom
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Enterprise (250+)
United States

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