Recently various data-driven spoken language technologies have been applied to spoken dialog system development. However, high cost of maintaining the spoken dialog systems is one ...
Donghyeon Lee, Kyungduk Kim, Cheongjae Lee, Junhwi...
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
In this paper, we describe a new multi-purpose audio-visual database on the context of speech interfaces for controlling household electronic devices. The database comprises speec...
We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from...
Tiit Hennoste, Olga Gerassimenko, Riina Kasterpalu...
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...