Speech recognition for telephone conversations in Icelandic using Kaldi
Sammanfattning: In this thesis we train and evaluate an Automatic Speech Recognition system for phone communication in Icelandic. We use Kaldi, an open source toolkit, to build both GMM-HMM and Neural Network based models for general speech recognition in Icelandic. A simple telephone based dialogue system is built to test the speech recognition model in a real world scenario by calling users with a simple back and fourth dialogue between the user and the system. The resulting Speech Recognition models offer improved results compared to baseline systems in terms of Word Error Rate and are found to be successful for use in telephone communication.
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