Speech recognition Stories November 24, 2014

 

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Apple has responded to a University of Utah study which criticized the safety of using Siri while driving, stating that it didn’t test the company’s in-car versions, Siri Eyes Free and CarPlay.

Of the six speech-recognition systems tested by researchers, Siri was found to be the worst for driver distraction. The study hooked up drivers to heart-rate monitors and other equipment designed to measure the degree of stress experienced by drivers while carrying out a range of voice-command tasks, giving each system a distraction rating from 1 (best) to 5 (worst) …  expand full story

Speech recognition Stories July 9, 2014

Court rejects Apple’s attempt to dismiss claim that Siri infringes Chinese patent

Reuters reports that a Chinese court has rejected Apple’s attempt to dismiss a claim by local company Zhizhen Internet Technology that Siri infringed its speech-recognition patent.

Zhizhen Internet Technology first alleged in 2012 that Apple’s Siri technology copied parts of its Xiao i Robot software, with pre-trial proceedings taking place last year. Apple said that it had not been aware of the patent when work began on Siri, and asked China’s State Intellectual Property Office to declare the patent invalid.

The Chinese patent office declined Apple’s request, leading Apple to file suit against it. It is this suit that has been rejected, leaving Zhizhen free to pursue its case against Apple.

Apple has said it intends to appeal to the Beijing Higher People’s Court, but suggested that a settlement might be reached by adding that “we remain open to reasonable discussions with Zhizhen.”

The backend for Siri was originally developed by Nuance, the company behind Dragon Dictate, though there have been persistent rumors that Apple plans to replace this with its own technology.

Image credit: forbes.com

Speech recognition Stories June 30, 2014

Nuance, the company that originally created the backend for the Siri mobile app that would later become the built-in virtual assistant in the iPhone 4S, has powered the speech recognition for the service ever since it launched. However, a new report suggests Apple may be looking to replace the company’s technology with a newer, faster system that could provide more accurate results.

A new Wired report cites several recent Siri-related Apple hires as evidence that the company is working on something big for the system’s next update. This isn’t really a new idea: rumors have been swirling since 2011 that Apple was investigating its own speech-to-text solution. That same year, Siri co-founder Norman Winarsky (not to be confused with current Siri Speech Manager David Winarsky) told 9to5Mac:

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The best 4K & 5K displays for Mac

Speech recognition Stories June 16, 2014

Domino’s Pizza launches voice ordering in mobile apps powered by Nuance

Dominos announced today that its launching a new voice ordering feature in its iPhone and Android apps that is powered by Nuance’s Nina Mobile voice speech recognition, speech synthesis and natural language understanding technology. The company says the feature will provide “a human-like, conversational customer service experience that allows users to speak an order and quickly add items to their cart.” Imagine opening the app and placing your order by saying, for example, “I’d like a large pizza with extra cheese, pepperoni and onions” or “I’ll take a 14-piece order of Hot Wings”.

“There will be a day where typing on keyboards or with thumbs on mobile devices will come to a close; we want to be the ones who continue to advance the technology experience – hand-in-hand with our customers,” said Patrick Doyle, Domino’s Pizza president and CEO. “Our mobile app users who are a part of this launch are truly helping set the foundation for the innovations of today, that will soon enough become the standards of tomorrow.”

The platform, in partnership with Nuance, will redefine technology convenience – and puts Domino’s at the forefront of an intuitive ordering method that is a true first within both traditional and e-commerce retail.

With the updated app rolling out today, you’ll also be able to browse menus, coupons and navigate through the app using your voice. The feature rolls out in beta today and is available in the updated Domino’s Pizza app for iOS now.

Speech recognition Stories March 29, 2014

Using our voice to control computers has never really taken off. For many of us, using voice recognition technology wasn’t even a consideration until features like dictation and Siri arrived on our iPhones and iPads. There’s good reason too: the voice recognition features built into our devices have always had the reputation of being half-baked. They simply aren’t accurate and consistent enough to replace our tried and trusted mouse and keyboard or touchscreen. While half decent dictation features come with every Mac (and are powered by Nuance’s technology), the voice recognition features you get with latest version of Nuance’s Dragon Dictate for Mac go well beyond simply dictating speech to text.  expand full story

Speech recognition Stories March 4, 2014

Nuance has just announced the next major version of its Mac dictation software, Dragon Dictate 4. The new version improves recognition accuracy as well as several new features, including the ability to machine transcribe from a pre-recorded audio file. You no longer have to be recording a voice live to get transcription.

Screenshot 2014-03-04 08.07.43We’ve had a quick play with the software and the accuracy is almost scary good compared to older versions of the software. Speaking in a normal voice gives you almost 100% accuracy and even mumbling seems to work. While Mavericks uses the same Nuance speech engine, Dictate 4 has a better interface for transcription and tons of extra features as outlined in the videos above and below.

Dragon Dictate software has also been updated for modern system architectures — it is a 64-bit app now.  This results in better performance and better memory management over its predecessors. The company says it has drastically reduced latency when interpreting speech.

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