Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning

E Erdem, M Kuyu, S Yagcioglu, A Frank… - Journal of Artificial …, 2022 - jair.org
Developing artificial learning systems that can understand and generate natural language
has been one of the long-standing goals of artificial intelligence. Recent decades have …

Towards more flexible human-machine speech communication

M Sečujski, N Jakovljević, N Simić… - 2023 31st …, 2023 - ieeexplore.ieee.org
The research presented in the paper addresses challenges related to the development of
more flexible systems for speech communication between humans and machines …

[PDF][PDF] Transfer learning for domain and environment adaptation in Serbian ASR

BZ Popović, ET Pakoci, DJ Pekar - Telfor Journal, 2020 - researchgate.net
In automatic speech recognition systems, the training data used for system development and
the data actually obtained from the users of the system sometimes significantly differ in …