Research Group for Applied Software Engineering
Forschungsgruppe für Angewandte Softwaretechnik
Master's Thesis
LeSRec: Using the Asymmetric Weight Allocation for a Learner Speech Recognition System
Advisor
Sajjad Taheri
Author
Gopala Krishna Char Cheidu Raghavendrachar
Date
15.11.2017
Implementing a Speech Recognition System, which can learn from the user input. The idea is to build an application to be able to monitor the system performance and give feedback regarding the recognized phrases. The samples, together with the corrected labels, will be used to retrain the model to improve the performance.