Image: Signal processing: Researchers at Cogito Health are developing mathematical models to detect vocal cues that may signal depression. The last graph represents the software’s confidence level in determining depression, from the beginning to the end of a vocal recording. In this example, the data shows a very high likelihood of depression. Credit: Cogito Health From Technology Review:
A large-scale trial will test whether software can identify depressed patients.
It's a common complaint in any communication breakdown: "It's not what you said, it's how you said it." For professor Sandy Pentland and his group at MIT's Media Lab, the tone and pitch of a person's voice, the length and frequency of pauses and speed of speech can reveal much about his or her mood.
While most speech recognition software concentrates on turning words and phrases into text, Pentland's group is developing algorithms that analyze subtle cues in speech to determine whether someone is feeling awkward, anxious, disconnected or depressed.
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