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This program can predict whether or not your relationship will last

Sometimes, it’s not about what you say, it’s about how you say it. Your tone of voice says a lot about how you actually feel and what you actually mean, and a group of researchers from the University of Utah and the USC Viterbi School of Engineering have developed a program that uses your tone to determine whether or not your relationship will last. By listening to conversations between couples and analyzing the tone of voice they use with each other, the program is able to predict whether or not couples are right for each other with 79% accuracy, which is more accurate than therapists. 

Words are powerful. As it turns out, the power may actually come from the tone, not the words themselves. Researchers from the USC Viterbi School of Engineering and the University of Utah have developed a program that — after listening to conversations between more than one hundred couples — can predict relationship success or failure better than a therapist. In fact, the machine boasted a nearly 79 percent accuracy rate when predicting whether a relationship would improve or worsen based on tone of voice used when the couples spoke. The program uses an algorithm that analyzes recorded marriage therapy sessions over the past two years. It uses speech-processing techniques that focus on pitch, intensity, jitter and shimmer — as well as slightly less quantitative measures such as “warbles” in the voice that tend to indicate increased emotion. It’s not plug-and-play. Instead, the program relies on multiple sessions to track a sort of trajectory map for the relationship. “Looking at one instance of a couple’s behavior limits our observational power,” said Panayiotis Georgiou, one of the leaders of the study. “However, looking at multiple points in time and looking at both the individuals and the dynamics of the dyad can help identify trajectories of the their relationship.”

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Written by Alfie Joshua

Alfie Joshua is the editor at Auto in the News. Find him on Twitter, and Pinterest.

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