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News for “models”
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Moozonian News
github.com• Feb 20, 2024• 1 min read
Show HN: TalkBank Batchalign – one-stop speech sample analysis tool and modelsHi HN! In the past few years with the TalkBank project, I've been hacking on a tool to make transcript analysis dead simple with CMU's TalkBank Project.What's transcript analysis? Everything from ASR (Whisper!), morphology and syntax (grammar, your sentences, etc.), captioning and alignment (you have a transcript and you have audio, you want to know when the transcript happens line by line), or disfluencies (detect stuttering, etc.)We've also trained custom models specifically for these tasks, such as a Whisper ASR model that's better for understanding disfluencies (https://huggingface.co/talkbank/CHATWhisper-en) and for segmenting text utterances for captioning and analysis (https://huggingface.co/talkbank/CHATUtterance-en).I hope this can be helpful for the community for both speech science and beyond.
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Moozonian News
news.ycombinator.com• Jan 31, 2024• 1 min read
Launch HN: Encord (YC W21) – Unit testing for computer vision modelsEric and Ulrik from Encord here. We build developer tooling to help computer vision (CV) teams enhance their model-building capabilities. Today we are proud to launch our model and data unit testing toolkit, Encord Active (https://encord.com/active/) [1].Imagine you're building a device that needs to see and understand the world around it – like a self-driving car or a robot that sorts recycling. To do this, you need a vision model that processes the real world as a sequence of frames and makes decisions based on what it sees.Bringing such models to production is hard. You can’t just train it once and then it works—you need to constantly test and improve it to make sure it understands the world correctly. For example, you don't want a self-driving car to confuse a stop sign with a billboard, or classify a pedestrian as an unknown object [2].This is where Encord Active comes in. It's a toolkit that helps developers “unit test”, understand, and debug their vision models. We put “unit tes