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It was this last push that helped transform speech capabilities and moved the needle closer to 95% accuracy. However, at this point, things seemed to stall for a little while until the latter half of the 2000s and the 2010s.ĭuring this period of time, Google voice, Apple’s Siri and other similar technologies were being developed and deployed.
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The 1980s and 90s continued to see gradual improvements and by the early 2000s, speech recognition had reached close to 80% accuracy. However, despite this improvement, its capabilities were still only equivalent to those of a three-year-old child. Harpy, developed by Carnegie Mellon, was able to understand and respond to 1,000 words, which was a massive improvement of earlier systems. In the 1970s for example, the US Department of Defense and DARPA worked on programs which eventually led to the Harpy system. Speech recognition continued to be worked on and developed in the decades that followed. Ten years later, IBMs Shoebox System, which had the ability to understand 16 words, was developed. In the 1950s and 60s, Bell labs worked on a system known as Audrey which could recognize single digit numbers. Speech has actually been something of interest since the early days of computing. However, the comfort we now have with voice assistants like Alexa, Siri, Cortana and Google would not be possible without the pioneers that preceded them. It’s been a somewhat bumpy road to this point and we definitely did not go from zero to hero overnight when it comes to Speech Recognition Technologies. How did we get here – the history of Speech Recognition Technology Facet-rich audio datasets for training speech recognition technologies can be ordered quickly and affordably through clickworker. Companies are rapidly embracing speech as a means of simplifying processes and driving an increase in overall operations and efficiencies.
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Speech Recognition Technology is now being used across businesses and while customer service teams are benefiting greatly, its use is being seen in many other areas also. Now close to 95% accurate, the technology is finally starting to pay dividends in terms of usefulness and utility. Thanks to the growth of Artificial Intelligence (AI) as well as Natural Language Processing (NLP) technologies, error rates with speech recognition are dropping. Recently, however, that has started to change. Interactive Voice Response (IVR) systems around the world have simply not been able to get it right and clients on customer support lines continued to struggle. While computers have had the capability of recognizing voices for quite a while, they have not been too successful in their endeavors to understand them. For quite a long period of time, voice control was very hit and miss.
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Nowadays, AI powered voice assistants like Alexa, Siri and Google are scattered throughout our homes and smartphones – but it wasn’t always this way. One technology that has now become so commonplace, most don’t even give it a second thought is speech recognition. Technologies that were once something popularized by science fiction have now become a facet of our daily life. Over the course of the past decade, the world has gone through a radical transformation.