Deep-Learning-basierter Spracherkenner mit beschränkten Trainingsdaten (DeLLA) (DeLLA)
Description
Speech recognition systems baed on Deep Neural Networks (DNN) currently brake all records and is being applied already in different products. These systems normally are trained with thousands of hours of training material for applications and languages where these amounts of data are available. In this feasibility study a new training approach for DNNs is developed and evaluated that need significantly less training data.
Key Data
Projectlead
Project team
Andreas Ahlenstorf, Matthias Büchi, Prof. Dr. Thilo Stadelmann
Project partners
SlowSoft GmbH
Project status
completed, 09/2016 - 11/2017
Funding partner
CTI
Project budget
210'000 CHF