Distil-Whisper: Advancements in AI Voice-to-Text Technology

Author(s): Louis Bouchard

Originally published on Towards AI.

Distil-Whisper: AI’s New Approach to Efficient Audio Transcription

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As you know, we can already exchange with AIs in a written format extremely well and efficiently, mostly thanks to ChatGPT but also open-source alternatives. The next step is to talk with them fluently, using our voice. If you haven’t tried it yet, OpenAI has a pretty good AI for that called Whisper, which anyone can pay to use and transcribe voice or audio into text that can then be used by any model or downstream task. It is extremely powerful but definitely is not easy to blend in well in any real-time application due to its computational complexity and the time it takes to process the audio.

You know how annoying it is to wait a little before your message is understood. For example, with the assistants we have, like Siri or Google Assistant. The AI transcribers will need to be much more efficient before the voice in an AI-based app becomes a seamless nice-to-have rather than just a funny thing you try but don’t use in your day-to-day work. Fortunately, amazing researchers are working on this audio transcription problem… Read the full blog for free on Medium.

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Published via Towards AI