Saturday 10 December 2016

Speech Recognition Technology

Speech recognition applications have been around for a long time but until recently haven't seen a huge uptake by the business community. With high accuracy and professional apps available for mobile devices, is voice recognition a technology that your business could make effective use of today?



Many business users may have already experienced what voice recognition can offer. Apple's Siri is already quite popular but Windows 10 users have Cortana, which moves the digital assistant to a whole new level of functionality. More importantly for today's businesses is the fact that Cortana is available on phones, tablets and desktop PCs offering a level of integration and familiarity across several devices being used across most firms.

Users can set up their systems to easily trigger voice recognition. They can use these systems to check calendars, book travel tickets or dictate rather than type. Being able to dictate at normal speaking speed and have your words accurately transcribed is a huge productivity bonus that most businesses can benefit from.

If your business requires typing the same blocks of text into numerous documents, speech recognition applications can have special commands defined that will enter these blocks of text for you. This is useful for standard clauses in contracts or email signatures.

Businesses in highly specialised sectors such as professional services or finance are in an ideal position to take advantage of what voice recognition can offer. All of the systems are learning machines - the more you use them, the more accurate they become. If your business often uses specialised terminology, voice recognition systems can learn these terms over time to ensure high levels of accuracy.

Ultimately, it's the time-saving factor that attracts businesses to voice recognition. Being able to spend less time typing and more time working on other things, is why an increasing number of businesses are adopting voice recognition into their IT systems.

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