Human emotions have a long history of evolution in order to survive as species. It can be a reaction to external stimuli, or an automatic manifestation of the process of internal thought. Feelings like fear are usually a response to an external stimulus, such as when we cross a busy road and the fear of rolling over makes our survival strategy work. These are external causes that trigger feelings inside our mind. However, emotions can be requested as a result of an internal thinking process. For example, If I have been able to find a solution to a complex mathematical problem, that would have made me happy because I felt satisfied. It may be an act of self-consciousness for no apparent reason, but resolving it is still emotional. In the same way, AI designers can mimic this feeling from the internal logic of machines. This can be a feeling of happiness that comes from solving, for example, a dividing equation. In addition, imitation emotions triggered by external motives such as happiness, sadness, surprise, sadness, fear, and anger can be created by working with written language, senses, and so on. Calculation methods will then be needed to analyze and express the emotions that occur in human interactions.
Duplicating and making people talk AI
The ability to produce natural sound is a challenge to AI programs that convert text into spoken words. Personalized Artificial intelligence (AI) assistants such as Siri (the Apples’ understanding of the native language of the iPhone), Alexa (Amazon’s personal assistant), and the Google Assistant all they use text-to-speech software to create much easier communication. and their users. These programs work by combining words and phrases in the pre-recorded files of a particular word. Switching to another voice such as having Alexa audio as a boy requires a new audio file containing all the words that the device may need to communicate with users.
However, making a person a unique sound of an emotional voice that combines emotions is something new and is beginning to make an impact. For example, a Canadian company called Lyrebird, created an AI system that learns to mimic human voice by recording speech patterns and related written texts. Lyrebird’s software can, as it means “create the most realistic action words in the world” and emulate almost any word. By listening closely to the spoken word, it can produce completely new sentences that incorporate the different sounds and emotions of each word. Lyrebird, like many other voice recognition software, uses sensory processing networks to learn voice recognition to convert audio fragments into speech. Understanding a person’s emotions using AI.
In recent years, AI has improved its ability to detect emotions in humans through voice, body language, facial expressions, and so on. For example, AI software for voice recognition software, learning to detect a person’s emotions through tone of voice, speech suspension, etc., in the same way we perceive changes in the emotional state of our loved ones, friends, or coworkers. Recently, researchers have developed an in-depth AI learning program that can detect the presence of a criminal by looking at his or her facial features with a 90% accuracy. In 2016 Apple bought the first software development company that can read facial features – called Emotient. This can be used to make AI programs such as SIRI and Alexa, understand their owners’ circumstances. Another application of this software could be re-sales: with support from in-store CCTV cameras, they can determine the customer’s thinking in their body language. For example, watching a customer return to the same item, or showing a focused lesson may indicate a strong interest that opens the way from store helpers.
The future of AI emotions
There are a few potential benefits of using AI programs to capture people’s emotions. They are not paid, or are tired and can work 24 hours a day making consistent decisions. Furthermore, the idea that one’s emotions are blocked by a legitimate machine is no longer valid. In his book Homo Deus, Yuval Noah Harari, he asserts that humans are simply the product of millions of years of evolutionary biological algorithms. This means that unnatural algorithms can replicate and surpass everything that natural algorithms can do for humans. We can expect to hear more about emotional AI in the future.
