Are cascade dialogue state tracking models speaking out of turn in
  spoken dialogues?
Lucas Druart Léo Jacqmin Benoît Favre Lina Maria Rojas-Barahona Valentin Vielzeuf
In Task-Oriented Dialogue (TOD) systems, correctly updating the system's
understanding of the user's needs is key to a smooth interaction. Traditionally
TOD systems are composed of several modules that interact with one another.
While each of these components is the focus of active research communities,
their behavior in interaction can be overlooked. This paper proposes a
comprehensive analysis of the errors of state of the art systems in complex
settings such as Dialogue State Tracking which highly depends on the dialogue
context. Based on spoken MultiWoz, we identify that errors on non-categorical
slots' values are essential to address in order to bridge the gap between
spoken and chat-based dialogue systems. We explore potential solutions to
improve transcriptions and help dialogue state tracking generative models
correct such errors.