Java-based Incremental Dialog Framework
An incremental dialog system process its input and output word-by-word instead of utterance-by-utterance. This allows, among other things, a more natural, rapid turn-taking.
This is an example video of a Jindigo application running:
You can test the Chess example application (shown above) yourself with Java Web Start:
Jindigo is still at a very early stage of development, but you can download a package with the latest binaries and source code from Sourceforge.
Note: Although Jindigo should in principle be platform independent, it has currently mostly been tested on Windows.
The distribution comes with the speech controlled chess board shown above. In order to run, you need a MaryTTS version 4.1 server running (as default on the same machine, but that can easily be configured).
Documentation has yet to be written. In the meantime, you can check out the (yet poorly annotated) Javadoc.
Source code can be checked out from the SVN repository at Sourceforge.
The Jindigo project is maintained by Gabriel Skantze. Email: email@example.com
ReferencesDialogue & Discourse, 2(1), 83-111. [pdf] (2011). A General, Abstract Model of Incremental Dialogue Processing. Proceedings of SigDial. Tokyo, Japan. [pdf] (2010). Middleware for Incremental Processing in Conversational Agents. In Jindigo: a Java-based Framework for Incremental Dialogue Systems. Technical Report, KTH, Stockholm, Sweden. [pdf] (2010). Proceedings of SIGdial (pp. 1-8). Tokyo, Japan. (*) [abstract] [pdf] (2010). Towards Incremental Speech Generation in Dialogue Systems. In (*) Best Paper Award at SIGdial 2010Abstract: We present a first step towards a model of speech generation for incremental dialogue systems. The model allows a dialogue system to incrementally interpret spoken input, while simultaneously planning, realising and selfmonitoring the system response. The model has been implemented in a general dialogue system framework. Using this framework, we have implemented a specific application and tested it in a Wizard-of-Oz setting, comparing it with a non-incremental version of the same system. The results show that the incremental version, while producing longer utterances, has a shorter response time and is perceived as more efficient by the users.Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-09). Athens, Greece. [abstract] [pdf] (2009). A general, abstract model of incremental dialogue processing. In Abstract: We present a general model and conceptual framework for specifying architectures for incremental processing in dialogue systems, in particular with respect to the topology of the network of modules that make up the system, the way information flows through this network, how information increments are 'packaged', and how these increments are processed by the modules. This model enables the precise specification of incremental systems and hence facilitates detailed comparisons between systems, as well as giving guidance on designing new systems.