use case: Identification of speakers
Face recognition is already widely used today, but there are still many formats in which a face cannot always be recognized, such as audio-only files. In this case, it is essential to be able to reliably identify speakers based on their audio characteristics.
How can DeepVA help me to store individual speakers as a data set in order to structure my image material?
With Deep VA’s Deep Customizer you can individualize the speaker recognition with your own personalities. Simply upload one or more audio files of the personality and title the speaker’s name. Expanding and Individualizing your speaker database couldn’t be easier.
Since training data is one of the most important elements in the use of AI, we offer data set functions to manage your training data transparently, intuitively and efficiently while respecting data privacy. The system can be used on-premise or in the cloud. If it is to be part of a workflow, integration is required. Via our RESTful API it can be easily integrated in any existing system or workflow.
What results can be obtained?
faster data acquisition
identification of speakers
In just a few seconds, new faces are trained using our Face Training and can be used in the Recognition Services.
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