• Partner:

  • DFKI

  • TU Berlin

Idea

Description

Features

Within the SpeechEval project we were facing many challenges and implemented different functionalities. In the following we shortly list some of our main features and system charateristics:
  • Automated end-to-end tests without human callers: Realization of an end-to-end user simulation, based on probabilistic features extracted from a corpus.
  • Functionality testing: Testing of specific SDS sub-components, e.g. automatic speech recognition (ASR), dialog manager (DM), etc.
  • Scripted dialogs: Definition of a specific dialog flow for the verification of specific dialog situations.
  • Stay-alive testing: Short test to examine the accessibility of a system.
  • Domain and System independence: Our user simulation is based on a large human-machine corpus, which covers many different state-of-the-art systems covering many different domains. Additionally, our simulation approach is domain independent. For more information see our publications.
  • Fast development time: We are extracting our knowledge sources semi-automatically from the corpus. This reduces the development time for setting up a new simulation.