Deepva Speech-to-Text

Speech-to-Text

function description

Converting speech to text

Often the spoken word alone is not enough: transcription is needed. Our Speech to Text function automates this process. The speech recog­nition algorithms were developed in collab­o­ration with the Fraun­hofer Institute. These algorithms make it possible not only to analyse the visual content of the videos, but also to take the audio track into account.

Speech-to-Text helps to extract even more detailed metadata from media. You can find out exactly what happens in the video, what it is about, and even what genre it is. The function is perfect for creating automated summaries of the material.

DeepVA Speech-to-Text

benefits

Trans­forming data into value

Spoken word transcription & genre recog­nition

Detailed metadata about your media files

Automatic summary gener­ation

use cases

Logo Recog­nition use cases

how it works

How does Logo Recog­nition work?

Logo Recog­nition analyses logos for various charac­ter­istics and compares them with the database behind them. This database can be either pre-trained person­al­ities or your own training material. In addition to face and landmark recog­nition, logo recog­nition will also be adapted to the specific needs of companies in the future.

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