Deepva speaker dataset creation
Speaker Dataset Creation
Function description
Create your own speaker database
The process of building your own AI models is often complex and time-consuming. With this feature, dataset creation, as well as the creation and management of people, is simple and possible without specialist knowledge. Speaker Dataset Creation automatically provides the system with images of people who cannot be recognized by pre-trained AI models due to their low profile or regional relevance.
benefits
Transforming data into value
Minimizes human-in-the-loop in the end-to-end workflow
Fully automated training data generation
Automatically builds training data for speaker recognition.
use cases
Face Dataset Creation use cases
Automatically build a speaker dataset
How can I build up a dataset for my speaker recognition?
how it works
How does Speaker Dataset Creation work?
With the help of name insertions in the video material and the person speaking at the same time, respectively the voice of the person, the necessary training data for a speaker recognition can be extracted automatically. The name and voice information is then stored in a separate dataset and made available to a customized AI model.
