speech recognition


How Google and Amazon are 'spying' on you

Daily Mail

You would be forgiven for thinking that your private conversations were just that, but two leading voice assistants are listening to everything you say, a new report claims. Patent applications from Amazon and Google revealed how their Alexa and Voice Assistant powered smart speakers are'spying' on you. The study warns of an Orwellian future in which the gadgets eavesdrop on everything from confidential conversations to your toilet flushing habits. Future versions of gadgets like the Echo and Home will use this data to try and sell you products, it says. You would be forgiven for thinking that your private conversations were just that, but two leading voice assistants are listening to everything you say, a new report claims.


How AI Is Catching Crooks in Call Centers

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This article first appeared in Data Sheet, Fortune's daily newsletter on the top tech news. I was in Atlanta Thursday, and for the second time in two weeks I was reminded that Silicon Valley has no monopoly on innovation. I visited a company adjacent to Georgia Tech University called Pindrop, which makes voice authentication and security products used by financial services companies and the like to cut down on fraud. Its AI-driven software listens to customer responses and cuts down on annoying verification questions as well as fraudulent behavior. Pindrop has some mind-blowing capabilities.


Andrew Ng Says Enough Papers, Let's Build AI Now! – Synced – Medium

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While the scientific community continues looking for new breakthroughs in artificial intelligence, Andrew Ng believes the tech we need is already here. Stop publishing, and start transforming people's lives with technology!" The three-day conference drew over 1,400 attendees from 17 different countries to the Santa Clara Convention Center. Ng's keynote speech was titled "AI is the new electricity". The number of papers submitted across arxiv-sanity categories such as machine learning, computer vision, and speech recognition has dramatically risen since 2012, says OpenAI's Senior Engineer Andrej Karpathy.


It's Official: Amazon is Putting Alexa to Work in the Office - InformationWeek

@machinelearnbot

It's no surprise that Amazon plans to push its Alexa speech recognition capability beyond the home where Alexa-powered Echo-connected speakers are used by millions of people to order take out, buy stuff from Amazon.com, order Uber rides, and play music, all using voice control. Everywhere, the home, the car, the office," Tom Taylor, Amazon's senior vice president of Alexa told a session at the company's annual AWS RE:Invent conference in Las Vegas last week. The Seattle Mariners, for example, installed Alexa in the 56 luxury suites at Safeco Field so customers can easily order food and drinks, Charlie Kindel, director of Alexa Home, noted during the same session. So, Alexa is already showing up in the workplace. Last year AWS made two key pieces of technology available to software builders to use however they wanted They were Amazon Lex for incorporating speech recognition into software and Polly, which does the same with text-to-speech recognition.


Google Brain co-founder teams with Foxconn to bring AI

Daily Mail

Andrew Ng, co-founder of some of Alphabet Inc-owned Google's most prominent artificial intelligence projects, launches a new venture with iPhone assembler Foxconn to bring AI and so-called machine learning onto the factory floor. Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com Google Brain founder Andrew Ng said Foxconn has already signed up for his new firm, using AI for visual inspection in a factory's quality control efforts. Pictured, Chinese workers assemble electronic components at the Taiwanese technology giant Foxconn's factory in Shenzhen, in the southern Guangzhou province. In many factories, workers look over parts coming off an assembly line for defects.


Google Brain Co-Founder Teams With Foxconn to Bring AI to Factories

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Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's


Google Brain co-founder teams with Foxconn to bring AI to factories

#artificialintelligence

Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or Amazon.com In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained," Landing.ai's Ng said Landing.ai had been approached by investors but had not accepted outside capital yet.


This Speech Recognition Tool Helps You Get More Done Faster -- Now 60% Off

PCWorld

Typing is unquestionably a staple in our daily lives, but given enough time, even this activity will go the way of floppy disks and dial-up Internet. With Dragon NaturallySpeaking 13, you can tap into the future of productivity thanks to its advanced speech recognition software that lets you get more done faster on your computer. Plus, it's on sale for 60% off its normal retail price for a limited time. This time-saving software turns your spoken words into text, allowing you to dictate documents up to 3 times faster than typing and with up to 99 percent accuracy. It understands and executes simple voice commands and trims down on typos and spelling mistakes.


Reading a Neural Network's "Mind"

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Neural models have become ubiquitous in automatic speech recognition systems. While neural networks are typically used as acoustic models in more complex systems, recent studies have explored end-to-end speech recognition systems based on neural networks, which can be trained to directly predict text from input acoustic features. Although such systems are conceptually elegant and simpler than traditional systems, it is less obvious how to interpret the trained models. In this work, we analyze the speech representations learned by a deep end-to-end model that is based on convolutional and recurrent layers, and trained with a connectionist temporal classification (CTC) loss. We use a pre-trained model to generate frame-level features which are given to a classifier that is trained on frame classification into phones.


Reading a neural network's mind

MIT News

Neural networks, which learn to perform computational tasks by analyzing huge sets of training data, have been responsible for the most impressive recent advances in artificial intelligence, including speech-recognition and automatic-translation systems. During training, however, a neural net continually adjusts its internal settings in ways that even its creators can't interpret. Much recent work in computer science has focused on clever techniques for determining just how neural nets do what they do. In several recent papers, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Qatar Computing Research Institute have used a recently developed interpretive technique, which had been applied in other areas, to analyze neural networks trained to do machine translation and speech recognition. They find empirical support for some common intuitions about how the networks probably work.