2 citations · 2 across the 2 of their papers we have counts for
5 papers · 1 filter
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
Simon Keizer, Norbert Braunschweiler, Svetlana Stoyanchev +1
A major bottleneck for building statistical spoken dialogue systems for new domains and applications is the need for large amounts of training data. To address this problem, we ado…
A study on cross-corpus speech emotion recognition and data augmentation
Norbert Braunschweiler, Rama Doddipatla, Simon Keizer +1
Models that can handle a wide range of speakers and acoustic conditions are essential in speech emotion recognition (SER). Often, these models tend to show mixed results when prese…
Action State Update Approach to Dialogue Management
Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla
Utterance interpretation is one of the main functions of a dialogue manager, which is the key component of a dialogue system. We propose the action state update approach (ASU) for…
User Evaluation of a Multi-dimensional Statistical Dialogue System
Simon Keizer, Ondřej Dušek, Xingkun Liu +1
We present the first complete spoken dialogue system driven by a multi-dimensional statistical dialogue manager. This framework has been shown to substantially reduce data needs by…
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
Simon Keizer, Verena Rieser
Recent statistical approaches have improved the robustness and scalability of spoken dialogue systems. However, despite recent progress in domain adaptation, their reliance on in-d…