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Understanding Voice Recognition AI Technology

AI and Voice Recognition Can Siri Learn

Apple’s Siri and Google’s Voice Assistant allow consumers to make use of voice recognition AI technology each and every day. Today, voice recognition technology is able to understand and respond to human speech. Something that had long been considered science fiction. This technology has become more common as each successive generation of device provides users with access to more sophisticated features.

New breakthroughs in the field mean that voice recognition is going to be more widely used then ever before. Technologies such as deep learning and computer algorithms designed to mimic the functions of the human brain have the potential to create more adaptive solutions.

What is Voice Recognition?

Voice recognition utilizes software in order to translate phonemes, the sounds that comprise human speech, into words. The software has grown more and more powerful thanks to more sophisticated computers. Additionally, the growing size of language databases that the software is able to draw upon. These tools have allowed for software that is able to utilize statistical methods in order to analyze speech sounds with greater accuracy. These methods have largely solved problems such as speaker-dependent recognition so that services are at least able to understand what is being said. The next logical step entails the creation of software which is able to benefit from true language understanding Рa far more difficult challenge than simple recognition and translation.

Neural Networks and Deep Learning

The term deep learning is a branch of machine learning that uses a very sophisticated set of algorithms in order to better model high-level abstractions. These models could function in much the same way that neurons do. They may have the potential to eventually assemble a basic understanding of the human speech. New algorithms based on this model of machine learning have been used to improve voice recognition accuracy substantially. While creating machines and software that is able to learn in the same way humans do may still be a very long way off. New software and speech recognition services able to provide greater accuracy and versatility is being made available to consumers all the time.

Current State of Voice Recognition

More sophisticated voice recognition programs powered by the latest algorithms are hitting the mainstream. Thus, allowing for smarter computers and mobile devices that are able to provide a greater degree of accuracy and functionality than ever before. Leading services like Google and Microsoft have tools that can convert spoken words into other languages in real time.

Voice Recognition AI Outlook

Algorithms are able to mimic some of the functions and learning methods of the human brain. This has allowed voice recognition technology to grow in recent years, and the future of voice recognition technology looks bright. Computers are actually able to truly learn or understand human language, rather than just recognize it. Today’s consumers can look forward to ever more accurate speech recognition services as well as a growing number of devices and applications that can be accessed and utilized with words alone.