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Whisper

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description Whisper Overview

Whisper is an automatic speech recognition model released by OpenAI in September 2022 as open-source software. It was trained on approximately 680,000 hours of multilingual and multitask supervised data collected from the web, covering numerous languages and dialects. The model is designed to perform transcription, translation, language identification, and voice activity detection. Whisper is available in several model sizes and has been widely adopted for speech-to-text applications due to its robustness across accents, acoustic conditions, and languages.

help Whisper FAQ

What type of AI model is OpenAI's Whisper?

Whisper is an automatic speech recognition (ASR) model developed and released by OpenAI in September 2022. It is designed to transcribe audio files into text and can translate numerous spoken languages into English.

How was OpenAI's Whisper model trained?

Whisper was trained on a massive dataset of 680,000 hours of multilingual audio data scraped from the internet. Because the model relies heavily on weak supervision rather than human-annotated datasets, it handles different accents and background noise exceptionally well.

Can Whisper accurately transcribe audio with heavy background noise?

Because it was trained on such a vast and diverse array of real-world internet audio, Whisper is highly robust against background noise. It significantly outperforms many proprietary models when tasked with transcribing poor-quality recordings or overlapping speech.

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