People with anxiety, depression, or stress often ask questions all day and help psychologists fine-tune their treatment to record their emotional changes. But they tend to forget that there is only a little information and the best record. The now emotionally-aware application that automatically generates someone's "mood diary" can give psychologists all the data they need.
This is smooth, and the founders of EI Technologies' voice recognition company, Matt Dobson and Duncan Barkley, are based in the United Kingdom. Rely on the diary, not the application. Listening to a person's voice indicates whether they are in five emotional states or not, as the informer changes: calm, happy, sad, angry or anxious/frightened. Then it lists a person's emotions on their time of change, and automatically lists their psychologists at the end of the day.
To work, the application must always listen to the user's voice once per second, and they are talking about family, friends, colleagues, and even pets. It also listens to the phone. If the user is silent, the application does nothing. Most importantly, for the user's privacy, it does not record their words, rather than looking for the informant's acoustic characteristics, like pitch, which is an indicative emotional state.
The speech processing laboratory at the University of East Anglia in Norwich, England, who is the company's scientific advisor, said Stephen Cox said that this emotional recognition, which has worked very well through the speech mode, is a "hot zone" the study.
A machine-learning system that sends a long-sounding snapshot to a remote server will formulate a person's emotional state and then send it back to the application's storage. Acoustic loudness, intensity, tonal changes, and speaking paces make the system able to accurately estimate the emotional state of others. "We extracted acoustic features and let our machine learning system work," said Cox. This ability will eventually be built into the application itself, Dobson said.
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