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3i Noise Analytics

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: 3iTech (formerly 3i Technologies)
Date of the premiere of the system: 2023/10/24
Technology: Call Centers,  Voice Technology

The main articles are:

2023: 3i Noise Analytics

3iTech, a Russian vendor of artificial intelligence solutions for business, has created a system that can disassemble and identify extraneous noise against the background of recorded or online speech. For this, a 3i Noise Analytics model was created on the basis of artificial intelligence, trained on a unique high-volume datacet. Household, office, street, human, animal and other noise are taken into account, 3iTech reported on October 24, 2023.

The system is in demand both in the contact centers of commercial structures and in critical hotlines, for example, in rescue services, because it allows you to determine in what conditions and in what situation the speaker is, what surrounds him, and what can affect the conversation itself.

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"The near future of the noise analysis system is its use in robotic systems capable of communicating with humans through ordinary speech. Robots will understand the speaker much better than humans themselves. Since they will analyze both speech and noise. A person seeks to exclude from perception everything that prevents him from listening to the interlocutor. Training a person to identify noise takes the first 15 years of his life. While training a noise recognition system based on artificial intelligence takes only 2 months, and this time will soon be reduced to 2-3 days, "said 3iTech CEO Alexei Lyubimov.
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The technology is implemented as part of the requests of large 3iTech customers seeking to improve the quality of their contact centers, as well as employees working remotely and communicating with clients by voice. Extraneous sounds, such as the work of office and home appliances, the voices of other people and pets, children's crying, etc., distract the attention of customers and reduce their loyalty to the caller. The created system allows the customer's management to train personnel in the correct work and monitor their compliance with the standards of communication with customers.