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AI and machine learningNeural networks and deep learningClassic machine learning
SoundHound CEO Keyvan Mohajer demonstrates Hound, a voice assistant capable of processing fast, compound natural language queries with context.
In this video, SoundHound Inc. Founder & CEO, Keyvan Mohajer does examples of voice queries to Hound that show speed and accuracy, and the ability to handle context, detailed criteria, and other examples. Hound can’t do everything, of course, but, for users who believe that speaking to connected devices should be like how we speak normally - this shows that it’s now possible. So many of things that you used to type, tap and swipe for can now be done effortlessly by speaking. The technology underpinnings of Hound, all built in-house at SoundHound Inc., include the company’s Speech-to-Meaning engine. The company has also built the Houndify platform, for developers to leverage the technology and build smart, interactive voice interfaces to their own products, services, and experiences. Almost anything that is ‘connected’ can become Houndifed. Available in US only at this time. Need a code? Request in-app or at soundhound.com/hound Download the app at bit.ly/HoundAndroid Hound on iOS is coming soon. www.twitter.com/HoundApp | www.facebook.com/HoundAppWhat people say. Engineers point to this leaked demo as an impressive, historically fast showcase of natural language understanding and voice search.
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