Blog posts tagged with voice user interfaces

Microphone arrays to unlock the potential of speech recognition

Posted: 20 July 2016
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Dag Kittlaus, CEO of Viv Labs (viv.ai), has recently given some impressive demonstrations of his latest AI technologies, but one thing that always looks odd during the Viv demonstrations is that he holds the phone very close to his mouth. He’s almost eating his phone every time – it’s like something from Trigger Happy TV. Dag needs to make sure that the quality of captured speech is clear enough for the software to decipher the content of the commands, but it’s not a real-world scenario. We’re not all going to want to "eat" our phones in order to book an airfare for next week.

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Voice interfaces unleash Orange's original vision

Posted: 08 July 2016
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I've just watched a promotional film that Orange recorded in 1999 called The Future's Bright The Future's Orange. It was striking that all the film's ambitions are as relevant to voice interactions today as they were to the world of mobile communications almost two decades ago.

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How voice user interfaces and natural language programming will change the way we interface with the world around us

Posted: 07 June 2016
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Microphones capture analog signals and thanks to digitization, have ridden the back of Moore’s Law to get ever smaller and cheaper to the point where the ability to capture decent sound in a tiny device has improved dramatically. This has taken audio capture out of the sound booth and recording studios and democratized it. Thanks to their ubiquity in handsets, laptops, headsets and media tablets, nearly 5 billion MEMS microphones are expected to be shipped in 2016 alone, at an average price point that will deliver four or five of them for less than a Euro or dollar.

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Voice recognition is everywhere, but accurate capture is the key

Posted: 20 May 2016
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Voice user interfaces - you can scarcely avoid the current hype in the media as giants like Amazon, and Google jostle to exploit the explosion of possibilities that advancements in natural language technologies are providing. Today’s neural networks use algorithms to process language through ever-deeper layers of complexity. Machines can now understand the meaning and intent of spoken words with unprecedented levels of accuracy. This has sparked a revolution for the power of voice.

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The xCORE 64-bit accumulator and memory bus

Posted: 03 November 2015
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In a previous blog I discussed the new DSP capabilities of the xCORE-200 architecture at a very high level. I'd now like to look at some of those DSP capabilities in more detail.

XMOS xCORE-200 devices are built around a 32-bit fixed point architecture, which includes a 64-bit accumulator for enhanced dynamic range. This architecture was chosen because it gives flexibility to implement many different forms of fixed-point and integer arithmetic efficiently.

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