Browsing Faculty of Engineering by Subject "Unsupervised training"
Now showing items 1-1 of 1
(IEEE, 2015)Large amounts of untranscribed audio data are generated every day. These audio resources can be used to develop robust acoustic models that can be used in a variety of speech-based systems. Manually transcribing this ...