Siri


Hey Siri: An On-device DNN-powered Voice Trigger for Apple's Personal Assistant - Apple

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The "Hey Siri" feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those two words. The "Hey Siri" detector uses a Deep Neural Network (DNN) to convert the acoustic pattern of your voice at each instant into a probability distribution over speech sounds. It then uses a temporal integration process to compute a confidence score that the phrase you uttered was "Hey Siri". If the score is high enough, Siri wakes up.


BuzzConf

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Join us on the 26th of October for presentations about some of the technologies and workshops you'll find at the BuzzConf Technology Festival this year. This month is packed with presentations on Arduinos, Insertable Technology, Voice Assistants, Deep Learning & Maker Culture. Tickets are also now on sale for the festival in December, but if you haven't yet got a ticket and want to see what all the buzz is about first - this is a great session to come down to! You can also see videos from many of our events on YouTube. Held in The Loop Bar in Melbourne, there will be plenty of options to eat and drink late into the night!


Flipboard on Flipboard

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Apple's machine learning team published an all-new research paper today that dives deep into how Apple uses AI to power one of the most basic Siri commands. In order to keep the'Hey Siri' command from running on the main processor all day, Apple's new publication reveals that the company uses a tiny, low-power auxiliary processor that's embedded in the Motion Coprocessor just to listen to the phrase. In the paper published on its blog today, Apple also discusses how it found unique ways to use machine learning to prevent false triggers of the'Hey Siri' command. To detect when someone actually wants to trigger Siri, Apple converts your voice using a Deep Neural Network into a probability distribution over speech sounds. A confidence score is then created and if it's high enough, Siri wakes up.


Complete Intro into Natural Language Processing – APJama – Medium

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You and I speak a language. Most people speaks at least one language. We've probably not had to think very hard about how we've learnt this language. The jury is still out on this, but we've got some pretty good ideas about how this is done. For Chomsky and others, humans are equipped with an innate ability to learn languages.


Transition of Siri's Voice From Robotic to Human: Note the Difference - DZone AI

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This is because Apple is digging deeper into the technology of artificial intelligence, machine learning, and deep learning to offer the best personal assistant experience to its users. While several advancements have been made to the basic models of unit selection and parametric synthesis, deep learning has penetrated into it deeper. Apple utilizes the power of deep learning in hybrid unit selection systems in order to get the highest-quality voice output for Siri. Once they decided to work rigorously to improve Siri's voice, engineers at Apple worked with a female voice actor to record 20 hours of speech in US accent English.


Voice Assistants Aren't So Easy to Fire Backchannel

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When an innovation is fresh, the decisions we make haphazardly end up governing market share for decades. Until the US government stepped in and required carriers to make our personal cell numbers portable, smartphone lock-in was even more draconian--enforced not only by operating system brand but also by cell-provider rules. Just as we can move our cell phone numbers from carrier to carrier today, we should be able to move our personal profiles from platform to platform with a simple file transfer. Note: This story originally suggested that Google Assistant had a competitive advantage in offering users access to a record of voice interactions.


How Apple, Facebook, Amazon, And Google Use AI To Best Each Other Fast Company

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As we explore in our companion piece about AI as a service, the tech giants who have a cloud computing business are adding AI services on top in an effort to differentiate their offerings. "With Siri intelligence, it understands context. Although tech cognoscenti will also dismiss Siri as less advanced than rival voice assistants, it has several hundred million users and has done more to popularize AI in consumer tech than arguably anything else. The new iPhone's FaceID is a paradigmatic AI function (In 2016, Apple acquired a facial-recognition software startup called Emotient for a rumored $100 million), and HomePod purports to be able to adapt its settings based on a room's acoustics and where it's placed.


Researchers find that Google's AI has a higher IQ than Siri

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According to HotHardware, engineers at Cornell decided to stack a number of competing AI assistants against each other to determine which boasted the highest IQ. Siri, in contrast, din't fare all that well, with researchers finding that Apple's AI checked in with an IQ of 23.9. Of course, if you're curious about real-world performance as opposed to an academic evaluation, you may want to check out this video from a few months back which saw Siri in iOS 11 go head to head with Google Assistant. At the very least, it's overwhelmingly clear that Siri today is light years more advanced than it was back in the day.


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Using this model, we observe three challenges, namely, expanding of the von Neumann architecture; testing and ranking the intelligence quotient of naturally and artificially intelligent systems, including humans, Google, Bing, Baidu, and Siri; and finally, the dividing of artificially intelligent systems into seven grades from robots to Google Brain. The Liu/Shi/Liu paper suggests the average IQ of a six-year-old is 55.5. They also suggest that humans are a "special artificial intelligence system made by nature," due to our ability to create and be creative.


AI is still not as clever as a six-year-old... for now

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Chinese researchers have found that Google's attempt at developing artificial intelligence, AlphaGo, is cleverer that Apple's Siri and Microsoft's Bing, but still not as clever as the average six-year-old. In tests, Google's AlphaGo system ranked highest. "Using this model, we observe three challenges, namely, expanding of the von Neumann architecture; testing and ranking the intelligence quotient of naturally and artificially intelligent systems, including humans, Google, Bing, Baidu, and Siri; and finally, the dividing of artificially intelligent systems into seven grades from robots to Google Brain. "As a result, future development of the relationship of artificial intelligence to human intelligence can be judged and growth curves for each intelligence that are mostly in line with the objectively recorded measures can be determined," they added.