Whisper

Whisper Overview

Whisper is a versatile speech recognition model developed by OpenAI. It is designed to handle a variety of speech processing tasks, including multilingual speech recognition, speech translation, and language identification. Trained on a large dataset of diverse audio, Whisper uses a Transformer sequence-to-sequence model to predict a sequence of tokens, effectively replacing many stages of a traditional speech-processing pipeline. It is compatible with Python 3.8-3.11 and recent PyTorch versions, and can be installed or updated using pip commands.

Whisper Highlights

• Whisper is a general-purpose model capable of multilingual speech recognition, speech translation, and language identification.
• It uses a Transformer sequence-to-sequence model, allowing it to replace many stages of a traditional speech-processing pipeline.
• Whisper offers five model sizes, each with different speed and accuracy tradeoffs, and four of these models have English-only versions for improved performance.