2 papers
eess.AS2019
Deep learning methods in speaker recognition: a review
Dávid Sztahó, György Szaszák, András Beke
This paper summarizes the applied deep learning practices in the field of speaker recognition, both verification and identification. Speaker recognition has been a widely used fiel…
cs.CL2019
Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech
Balázs Tarján, György Szaszák, Tibor Fegyó +1
Recognition of Hungarian conversational telephone speech is challenging due to the informal style and morphological richness of the language. Recurrent Neural Network Language Mode…