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.
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Whisper (speech recognition system) ... Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022.
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This guide will walk you through the various Whisper models, their differences, and how to select the right one for your specific use case. ... Whisper comes in various sizes, each representing a different tradeoff between accuracy, speed, and resource requirements.
The meaning of WHISPER is to speak softly with little or no vibration of the vocal cords especially to avoid being overheard. How to use whisper in a sentence.
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.
Whisper v3 is designed for both speech recognition and translation. It predicts transcriptions in the same language as the audio for speech recognition and transcribes to a different language for speech translation.
