AI Detects Depression in Voice Tone

AI Detects Depression in Voice Tone
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AI Detects Depression in Voice Tone

AI Detects Depression in Voice Tone

Depression is a reality for many people, but due to the wide scope of symptoms and varying degrees of severity, it is often difficult to diagnose.

Researchers at the Computer Science and Artificial Intelligence Laboratory are attempting to combat this difficulty. They aimed at making diagnosis simpler for doctors and individuals by creating an algorithm that when taught to a machine, can detect depression simply by listening to the tone of your voice.

The technology is in its infancy, so while it promises to be a wonderful tool, there are still some hurdles to overcome. The algorithm is based on a study that used text and audio data from 142 interviews with patients; 30 of the patients had been diagnosed with depression, and the machine was able to correctly identify the other patients with a 77 percent success rate.

Tuka Alhanai, a researcher from the laboratory and one of the developers of the algorithm, said: "If you want to deploy models in a scalable way, you want to minimize the amount of constraints you have on the data you’re using."



22 Endangered Wildlife Species Released in Madinah's Al-Bayda Park

The initiative is part of ongoing national efforts to reintroduce native species into their natural habitats. SPA
The initiative is part of ongoing national efforts to reintroduce native species into their natural habitats. SPA
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22 Endangered Wildlife Species Released in Madinah's Al-Bayda Park

The initiative is part of ongoing national efforts to reintroduce native species into their natural habitats. SPA
The initiative is part of ongoing national efforts to reintroduce native species into their natural habitats. SPA

Under the patronage of Governor of Madinah Region Prince Salman bin Sultan bin Abdulaziz, Saudi Arabia’s National Center for Wildlife, in collaboration with the National Center for Vegetation Cover Development and Combating Desertification, released 22 endangered wildlife species in Al-Bayda Wildlife Park in Madinah.
The initiative is part of ongoing national efforts to reintroduce native species into their natural habitats, enrich biodiversity, and promote ecological balance in protected areas.
The released species include six mountain ibex, four Arabian antelopes, four griffon vultures, six kestrels, and two collared doves. The animals were equipped with collars and satellite tracking devices to ensure effective monitoring, allowing experts to follow their movements, assess adaptation rates, and gather data to support breeding and sustainability programs.
The initiative reflects the Kingdom's broader commitment to wildlife conservation and environmental restoration, which aligns with national strategies to protect endangered species and combat desertification.