![]() ![]() Samples don't need to have identical text. The first part is called identification where you pass in a sample audio of spoken text and the computer tells you who that speaker is. In other words, something that only the NSA could do in 1985, you will be able to do by the end of this article.Īs the name suggests, speaker recognition is the ability of a computer to listen to a voice and identify who the voice belongs to. This is built purely using Microsoft Cognitive Services, which means that it's easy! If you can call a REST service, you can build a speaker recognition system by recognizing their voice. They are unique, enough so that a computer can recognize a person from their voice with a very high degree of accuracy. This is possible because our voices are like fingerprints. And the computer will recognize (hopefully) who that voice belongs to. Then I can submit an audio clip, something that the computer has never heard before. ![]() All I need is a 30 second audio sample of the person talking. In this article, I'll demonstrate how you can build a library of voices associated with speakers. It sounds like science fiction, but it was actually quite easy. In my previous article (CODE Magazine May/June 2018), I showed you how Cognitive Services can recognize people by simply submitting their photograph. Microsoft Cognitive Services, or as I like to call it, AI for the common folk, allows your applications to hear, see, and understand just as you would. It makes me wonder what technologies they have today! ![]() Alas, they could not pinpoint who the person was on the phone call.įind additional: Artifical Intelligence Articlesīy 1985, the NSA were able to identify the specific person by using a technology that could identify people by the sound of their voices. In 1980, FBI agents recorded a phone call in which a man had secretly arranged to meet with the soviet embassy in Washington DC. During the cold war, both American and Russian spies were trying to outdo each other. ![]()
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