Whisper Is Free and It's Good. Here's How You Beat It.

This story was originally published on HackerNoon at: https://hackernoon.com/whisper-is-free-and-its-good-heres-why-we-still-beat-it. When a free open-source model becomes the on-device ASR benchmark, you have to earn your price tag. Here's what happened when we tested Speechmatics vs Whisper. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #voice-ai, #speech-ai, #speech-to-text, #speech-to-text-ai, #speech-to-text-api-comparison, #openai-whisper, #good-company, and more. This story was written by: @speechmatics. Learn more about this writer by checking @speechmatics's about page, and for more stories, please visit hackernoon.com. Whisper is free, runs locally, and genuinely good. So what happens when you benchmark your paid on-device speech model against it? We did exactly that — and the memory numbers surprised us more than the speed. Plus why audio transformers break quantization tools that work fine on LLMs, and the honest cases where Whisper still wins.