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EVAM Speaker Identification
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| bet | 3/7 | | Sana | 08.01.2024 | | Hajmi | 0,52 Mb. | | #132475 |
Bog'liq 1 TIZIM SIGNAL TOP 1 EVAM Speaker Identification
EVAM successfully realized the project that goes one step ahead of time on the speaker identification module developed with deep learning. Also, EVAM gathered different artificial intelligence algorithms in deep learning and brought systems such as speech/speaker recognition, identification, and verification together under one roof. And the exciting part is, the module works with high accuracy.
The module, which can successfully work on all languages, has primarily trained on data of Turkish speakers. As is known, the English language is preferred in the development of such algorithms since there are lots of data. However, although there are few data sources for the Turkish module, it has been revealed in the test results that it has a high accuracy rate. The result shows us that the module can perform high accuracy for other languages as well.
What are the Areas of Usage in Real Life Problems?
EVAM speaker identification module can be used in all EVAM’s products which allow end-to-end customer journey orchestration. EVAM Actions enables enterprises to design customer journeys in real-time or manage customers’ engagement, demand, and expectations from banking to e-commerce. EVAM Intelligence, which is a continuous intelligence tool, gives a chance to understand what customers may need as the next step. EVAM Rule of Things (RoT) allows you to design device journeys to manage big data and use the internet of things on a platform that is secure, fast, and useful.
EVAM allows this speaker identification to be used for voice signature as a service in mobile security stages. Also, it can be used in many different sectors such as banking, insurance, e-commerce, telecommunication, etc.
With the speaker identification module, companies can obtain much knowledge from customers speaking. For example, it can deduce information such as where the customer lives, psychological condition, age, or gender from the accent and frequency of the speech. Moreover, it can instantly predict the problems that may occur in the call center customer experience, based on the speech of the customers. Also, speaker diarization (overlapped speaker detection) of more than one speaker and identifying the target speaker.
Furthermore information about EVAM Actions And EVAM Intelligence
EVAM speaker module also can detect malfunctions that can be machine or engine troubles with EVAM Rule of Things from the incoming sound data in the production area. Besides, it can contribute to getting sharper results by contributing to IoT data used in predictive maintenance estimation.
Furthermore information about EVAM Rule of Things
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