Some artificial intelligence researchers believe the sound of an individual’s voice may provide insight to that person’s mental well-being, The New York Times reports. University of Cincinnati College of Medicine Psychologist and assistant professor Maria Espinola said the speech of people who suffer from depression is more monotone, flatter and softer, with reduced pitch and lower volume. People with anxiety tend to speak faster, she said. These vocal features are being utilized by machine learning researchers to predict depression and other mental illnesses. Editor's note: The Privacy Advisor Podcast explored the voice intelligence industry with author Joseph Turow.