When it comes to mobile technology, the prevalence of voice recognition software has increasingly grown in popularity. In fact, according to a report from the experts at Tractica, this technology will double over the next five years. During the study, they found that native speech recognition software for mobile devices will likely skyrocket from 45 percent usage in 2014 to 82 percent usage in 2020. In addition, the report stated that bio-metric identification and voice prints for authentication will grow from almost zero percent to nearly 36 percent by the year 2020. Discover more about voice technology trends below.
Why the Growing Trend?
In the report, the growth has been attributed to numerous uses that include applications that go beyond the traditional. For example, virtual digital assistants, voice print identification for individual speakers and always-on interfaces.
According to the principal analyst Peter Cooney, the aural interface technologies are being integrated and increasingly becoming essential for the interface on mobile devices. In addition to the added functionality, the voice authentication will allow for new applications: One example of this could be virtual digital assistants. Cooney also stated that the technology required to run audio interface technologies has already seen excellent development. The report states that at least 24 mobile suppliers have pursued offering products in the audio interface industry.
Will the Growth Change Anything?
Despite what experts of the Tractica report predict, which is exponential growth of the industry, they still believe that touch technology, rather than audio recognition software, will remain the primary user interface when it comes to using tablets, Smartphones and smart watches. Unless the technology reaches a new peak, it is just easier to control everything with the touch of a button, as opposed to using your voice to control everything.
Conversing with a Computer: Science Fiction?
Up until recently, the thought of holding a conversation with your computer seemed like a good science fiction movie. Ask a computer to open the doors on your vehicle, and that was something only seen at the movies. However, things are changingand quickly. We have seen a growing trend of people who ask their Smartphones to send emails, search for directions, text messages and finding information on the Internet. Vlad Sejnoha, the chief technology officer at Nuance Communications, stated that we have reached a transitional point where voice and natural-language understanding have suddenly reached the forefront in technology. Sejnoha even believes that speech recognition will overpower the current interface.
Advances in Technology
We have seen steady progress in the voice recognition software for machines understanding human speech. This includes machine learning and statistical data-mining techniques. Actually, you can already see this sophisticated voice technology in use at call centers. Oftentimes, the technology lets users navigate menus, but it can recognize angry customers who should be transferred to a human customer service representative immediately.
What a Senior Research Scientist at MIT Has to Say
Jim Glass, one of the senior research scientists at MIT, says that he has worked with speech interface technology since the 1980s. He notes that even today’s Smartphones pack as much processing power as the laboratory machines that Glass had available to him in the 90s. Because of the higher bandwidth data connections to the Cloud, the Cloud servers do most of the heavy lifting related to understanding spoken questions and voice recognition. Glass says that we are seeing a powerful combination between computing power and higher data.
Where else has voice recognition already been seen? The most prominent example of this technology in mobile devices would be Siri. It was the voice activated personal assistant that the designers at iPhone built into their products. While voice recognition and voice technology trends still have a tight leash, we have inched our way closer to having machine interfaces that we can actually talk to.