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Voice - The next computing platform - Global Thematic Research

Voice - The next computing platform - Global Thematic Research


Many of us will be talking increasingly to machines. Products such as smartphones, in-car infotainment systems, biometric ID systems, home speakers, games consoles, televisions, doors, fridges and industrial machines are already, or will soon become, conversational.

Speech recognition technology is currently about 90% accurate. In order for voice-activated products to go mainstream, speech recognition needs to reach 99% accuracy. This may take until 2030. But, in the meantime, investors need now to factor voice-driven AI into their thinking and into the way they assess the future prospects of many of their mid-term investments.

Inside this report, we look at the key players impacted by this theme, drilling down into the value chain and identifying winners and losers.


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Where are we in the evolution of voice technology?
Voice platforms are approaching take off point
so investors need to factor voice-driven AI into their thinking
Chinas role in voice platforms could be big
Voice algorithms are still only 90% accurate
The evolving business context around voice
Application programming interfaces
Voice-driven platforms and devices
Voice by the numbers
Hidden Markov Models dominate speech recognition
while Connectionist models created the concept of artificial neural networks
Now the focus is on deep learning
What the future holds for voice
Public companies
Privately held companies

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Reports Details

Published Date : Dec 2016
No. of Pages :24
Country :Global
Category :Technology
Publisher :GlobalData
Report Delivery By :Email
Report Delivery Time :12 to 24 hours after placing the order.

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