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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

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