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Is My Partner Cheating On Me? New Study Says You Can Tell By Their Voice! | Key Signs of Cheating

Still fearing infidelity? We have you covered

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Is your partner loyal? Pixabay

Pennsylvania, October 11, 2017 : Being in a relationship comes with its own set of worries and setbacks. While trust is the foundation of every relationship, it is not that easy to believe everything that your partner says or does. Do you have doubts about their intentions? Do you tumble and toss all night wondering if your partner is cheating on you? Just listen to them speak.

According to a new report published in the journal Evolutionary Psychology, you can detect infidelity by the way your partner sounds.

Researchers from the Penn State University and Albright College recently conducted an interesting experiment to trace and address the relationship between speech and infidelity.

The Research

To decode a relationship between speech and infidelity, the researchers recorded the voices of men and women reading the numbers 1 to 10. This group of people included heterosexual, unmarried individuals who were or had been in committed relationships. Half of the volunteers admitted to have had sex outside their relationships, while the other half claimed to have been loyal throughout.

Assuming that the participants were telling the truth, the volunteers now comprised a group of cheaters and non-cheaters; however, no evident distinction was made between the two groups

Next, another group of volunteers were exposed to these audio recordings who were then asked to rate the likelihood that each speakers had cheated on their partner.

Is My Partner Cheating On Me?
Here is what the research found

Shockingly, the study revealed that the volunteers were successfully able to identify the cheaters based on their voice alone.

To maintain authenticity, the researchers also manipulated the pitch of the volunteers’ samples and regardless speakers were still able to assess their infidelity.

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‘These findings expand upon the idea that the human voice may be of value as a cheater detection tool and very thin slices of vocal information are all that is needed to make certain assessments about others’, the researchers said, as quoted by The Daily Mail.

What Can Voice Reveal About Cheating Partners?

While the researchers agree that they cannot specifically point out the features of the voice that leads an individual to make this assessment, they agreed that a lot can be revealed by the pitch of a person.

The experiment also found that extroverts had few silent pauses and greater voice quality, which motivated an individual to make an assessment of infidelity. According to the study, “masculine males tend to display less clarity in their speech and show phonetic patterns indicative of masculinity, which in turn could be associated with infidelity threat.”

So, you have been speaking to your partner and still haven’t found a difference in his tone or pitch. But somehow your faith in your significant other and the relationship is faltering now. And all you can wonder is,

“Is My Partner Cheating On Me?”

ALSO READ Girls, are you Looking for a Guy your Parents Would Approve? Here Are 10 Reasons why you Should give the ‘Nice’ Guys a Chance!

Still fearing infidelity? We have you covered

Key Signs That Your Partner Has Cheated

  • Staying at the office till late
  • Travelling or going for trips more often
  • Sudden increase in the use of mobile phone
  • Increased and suspicious use of social media
  • Suddenly acting distant and attributing it to ‘stress from work’
  • They will shower you with unexpected gifts and remind you that they love you, however this will not be supported with action

  • Taylor

    nive

Next Story

Novel AI Tool to Detect Depression Via Sound of Your Voice

Such a tool could prove useful to support work with care providers or to help individuals reflect on their own moods over time

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Depression is a major issue affecting millions of people, especially the teenagers. Pixabay

India — the sixth most depressed country in the world — has an estimated 56 million people suffering from depression and 38 million from anxiety disorders, according to a recent report by the World Health Organisation (WHO).

To help identify depression early, scientists have now enhanced a technology that uses Artificial Intelligence (AI) to sift through sound of your voice to gauge whether you are depressed or not.

Computing science researchers from University of Alberta in Canada have improved technology for identifying depression through vocal cues.

The study, conducted by Mashrura Tasnim and Professor Eleni Stroulia, builds on past research that suggests that the timbre of our voice contains information about our mood.

Using standard benchmark data sets, Tasnim and Stroulia developed a methodology that combines several Machine Learning (ML) algorithms to recognize depression more accurately using acoustic cues.

A realistic scenario is to have people use an app that will collect voice samples as they speak naturally.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“The app, running on the user’s phone, will recognize and track indicators of mood, such as depression, over time. Much like you have a step counter on your phone, you could have a depression indicator based on your voice as you use the phone,” said Stroulia.

Depression is ranked by WHO as the single largest contributor to global disability. It is also the major contributor to suicide deaths.

The ultimate goal, said researchers, is to develop meaningful applications from this technology.

Also Read- Facebook to Pay $5bn Fine Over Privacy Violations

Such a tool could prove useful to support work with care providers or to help individuals reflect on their own moods over time.

“This work, developing more accurate detection in standard benchmark data sets, is the first step,” added Stroulia while presenting the paper at the Canadian Conference on Artificial Intelligence recently. (IANS)