With all the evolvement in deep neural networks and artificial intelligence, voice recognition systems are awe-inspiring these days. But how great is their ability to identify an actual person? Are they better than humans or easy to fool? We decided to find out.
As a forensic expert, you work with a variety of advanced tools in order to provide courts and law enforcement agencies with the most accurate forensic analysis. Therefore, when using automatic speaker identification systems, their accuracy is crucial. That’s why we were excited to find out that our AI-powered speaker identification system was about to be tested by forensic experts against the other speaker recognition systems on the market.
Our fastest, 5th generation of the Speech To Text and Keyword Spotting technology has been out since last summer, and we have been gradually extending the engine to support more and more languages. As we added two more languages to the engine last week, it is a perfect time to explore its performance in more detail.
Want to get impressed by the latest evolvements in the AI-powered voice biometrics and speech analytics technology? Then make sure to visit us at INTERPOL World 2019 event in Singapore happening on July 2-4, 2019!
Thanks to the exclusive use of deep neural networks, Phonexia's latest generation of Speaker Identification engine (SID) is the best voice biometrics technology available on the market. In the video below, we will not only show you how to evaluate this technology quickly to see the results for yourself but also how to improve them depending on your specific use case!
We are happy to announce that Phonexia was selected as the Company of the Year by AI Awards—The Czech event evaluating companies and individuals based on their contribution to AI research and utilization.
Did you know that speech technologies can understand any language on the planet (and possibly even in outer space)? You just have to teach them. This is why we have chosen Klingon – the artificial language made up by the filmmakers of Star Trek – to show you how nowadays sci-fi-looking artificial intelligence technologies can learn almost anything.