{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"Whisper Is Free and It's Good. Here's Why We Still Beat It.","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a16a3dfc\"></iframe>","width":"100%","height":180,"duration":653,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/whisper-is-free-and-its-good-heres-why-we-still-beat-it.\n             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. \n            Check more stories related to undefined at: https://hackernoon.com/c/undefined.\n            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.\n            \n            \n            This story was written by: @speechmatics. Learn more about this writer by checking @speechmatics's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                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.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}