Technology for real-time recognition of emotions from voice. Research achievements are introduced at the related link!
"ST (Sensibility Technology)" is a technology that recognizes emotions from the voice. Emotions are expressed in a person's voice, and they cannot be faked. Have you ever experienced your voice trembling or cracking when you are nervous? Those reactions cannot be controlled by oneself. ST has successfully captured the natural responses of the vocal cords that cannot be controlled. *Patent obtained. While voice recognition converts voice into text, emotion recognition identifies emotions such as joy, anger, sadness, and neutrality from the voice. This technology makes the emotions read from the voice visible through colors (joy is yellow, sadness is blue, etc.) and scores. [Recognized Emotions] ■ Red Emotion: Strong will state - Anger, Assertion ■ Yellow Emotion: Lively state - Joy, Confidence ■ Green Emotion: Neutral state - Neutrality, Normalcy ■ Blue Emotion: Depressed state - Sadness, Confusion *For more details, please download the PDF or contact us.
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basic information
Do you have any of these concerns? With web meetings becoming mainstream during the COVID-19 pandemic, do you find it difficult to understand what the other person is thinking? Wouldn't it be great if we could easily grasp the other person's emotions? Is there a tool that can easily measure the effectiveness of a product? For example, if someone says, "I don't want to go to Tokyo Disneyland," it can be interpreted as a negative statement just by looking at the words. However, what if their tone rises at the end of the sentence when they say it? That's right, it could actually mean a positive statement: "I want to go to Tokyo Disneyland." ST excels in situations where you cannot gauge the other person's emotions through words alone. It can analyze the true feelings of the other person from their voice, which cannot be captured through text alone. Through joint research with the University of Tokyo, we have actively pursued patent acquisition and presented papers at domestic and international conferences. We have evidence that you can be satisfied with.
Price range
P5
Delivery Time
P3
Applications/Examples of results
【Examples】 ST has been implemented in various scenarios. One example is… ■ Emotion recognition and generation with Pepper ⇒ The robot reads the emotions of the other party and generates its own emotions. ■ Automotive field ⇒ Detecting the driver's emotions to create an optimal driving environment. ■ Call center ⇒ Detecting the emotions of operators and customers to enhance customer satisfaction. ■ Games ⇒ Creating game environments that respond to the player's emotions. 【Features of ST】 - Real-time analysis - Analysis of audio file inputs - Capable of analyzing large volumes of audio files 【Methods of Providing ST】 - SDK (software development kit) - Web API
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Company information
Our company has been researching technology to recognize emotions from voice for over 20 years, aiming to establish it as a foundational technology for AI to understand human feelings. We have accumulated scientific evidence through conference presentations and patents, and we are sincerely conducting research on technology that recognizes emotions from voice. We handle various products using Sensibility Technology (ST) and provide appropriate solutions to meet our customers' needs.
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