SoundCloud's Hound Provides Conversational Interface (Video)

Hound is a new development tool from SoundHound Inc. that seems to do an excellent job in listening to humans and then providing "fast and deep results" (i.e., a good answer). Watch the demo.


(SoundHound's Houndify computer interface)

Understands text and voice input
Houndify is able to take text and audio input, and return fast, accurate and contextual results.

Provides large-scale, fast and accurate speech recognition
Houndify is internally developed for all platforms, and performs more accurately and faster than traditional systems.

Speech-to-Meaning
Speech recognition and natural language understanding are performed simultaneously in real time, achieving very high speeds and accuracy.

Supports context and follow-up queries
Houndify uses context such as previous queries as well as user's location to enable a conversational interaction. For example, users can say "show me hotels around me", "how about in san francisco", "nothing more than $200 per night".

Understands complex and compound queries
Houndify can understand more complex queries with compound criteria. For example, "show me hotels in san francisco for tomorrow that are less than $300 but not less than $200, are pet friendly, have a gym and a pool, with 3 or 4 stars, staying for 2 nights, and don't include anything that doesn't have air conditioning".

Works on all platforms
Enable your product to have a conversational interface on any platform: iOS, Android, Windows, Unix, Raspberry Pi, and others.

Science fiction fans exposed quite early to the idea of computers that can answer questions asked by humans. In his 1935 story The Machine, sf great John W. Campbell:

"You have forgotten your history, and you have forgotten the history of the Machine, humans..."

"On the planet Dwranl, of the star you know as Sirius, a great race lived, and they were not too unlike you humans. ...they attained their goal of the machine that could think. And because it could think, they made several and put them to work, largely on scientific problems, and one of the obvious problems was how to make a better machine which could think.

The machines had logic, and they could think constantly, and because of their construction never forgot anything they thought it well to remember...
(Read more about John W. Campbell's thinking machine)

Find out more (and get in on beta testing) at SoundHound.com.

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