Translate and Transcribe Audio with Whisper

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➡️ In this tutorial, you'll learn how to translate and transcribe audio to English using Whisper and the Takomo builder.

🔗 Important Links

- Takomo AI

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❓ What is Whisper?

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.

Discover the power of Whisper, a robust and general-purpose speech recognition model developed by OpenAI. Whisper is a multilingual model that not only excels in speech recognition but also performs speech translation and language identification, making it a highly versatile tool​.

Built using a Transformer sequence-to-sequence model, Whisper is trained on various speech processing tasks. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, enabling a single Whisper model to replace many stages of a traditional speech-processing pipeline​.

Whisper offers five model sizes, each with English-only versions, providing a balance between speed and accuracy. The models have different memory requirements and relative speeds, making it flexible to suit various application needs​1​. Whisper can easily transcribe speech in audio files and also perform transcriptions within Python, offering a practical solution for developers and researchers alike​.

In addition, Whisper provides lower-level access to the model, allowing users to detect the spoken language and decode the audio. This enhances its usability for more complex applications and research purposes​.

Notably, Whisper's code and model weights are released under the MIT License, endorsing its commitment to open-source principles and promoting innovation in the field of speech recognition and beyond​.
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This is awesome! I wonder what other models can be connected?

arturspolis
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I would want to know how to connect the output from Whisper to a GPT with a predefined prompt so I can get main points and other analysis from UX product tests

MeganMcGlynn-rr