Incremental spoken dialogue systems, which process user input as it unfolds, pose additional engineering challenges compared to more standard non-incremental systems: Their processing components must be able to accept partial, and possibly subsequently revised input, and must produce output that is at the same time as accurate as possible and delivered with as little delay as possible. In this article, we define metrics that measure how well a given processor meets these challenges, and we identify types of gold standards for evaluation. We exemplify these metrics in the evaluation of several incremental processors that we have developed. We also present generic means to optimise some of the measures, if certain trade-offs are accepted. We ...
Schlangen D, Baumann T, Buschmeier H, Kopp S, Skantze G, Yaghoubzadeh R. Middleware for Incremental ...
Buß O, Baumann T, Schlangen D. Collaborating on Utterances with a Spoken Dialogue System Using an IS...
Incremental dialogue systems are able to process the user’s speech as it is spoken (without waiting ...
Baumann T, Atterer M, Schlangen D. Assessing and Improving the Performance of Speech Recognition for...
Schlangen D, Skantze G. A General, Abstract Model of Incremental Dialogue Processing. Dialogue and D...
A brief introduction to the topics discussed in the special issue, and to the individual pape...
Language production is a complex task, and despite limited resources, humans can speak fluently at a...
Baumann T, Schlangen D. Evaluating Prosodic Processing for Incremental Speech Synthesis. In: Procee...
Incrementality is a fundamental feature of language in real world use. To this point, however, the v...
We present a generic template for spoken dialogue systems integrating speech recognition and synthes...
Incremental dialogue processing has been an important topic in spoken dialogue systems research, but...
Incremental dialogue model components produce a sequence of output prefixes based on incoming input....
We present a general architecture for incremental interaction between modules in a speech-tointentio...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
The acceptance of natural language generation systems strongly depends on their capability to facili...
Schlangen D, Baumann T, Buschmeier H, Kopp S, Skantze G, Yaghoubzadeh R. Middleware for Incremental ...
Buß O, Baumann T, Schlangen D. Collaborating on Utterances with a Spoken Dialogue System Using an IS...
Incremental dialogue systems are able to process the user’s speech as it is spoken (without waiting ...
Baumann T, Atterer M, Schlangen D. Assessing and Improving the Performance of Speech Recognition for...
Schlangen D, Skantze G. A General, Abstract Model of Incremental Dialogue Processing. Dialogue and D...
A brief introduction to the topics discussed in the special issue, and to the individual pape...
Language production is a complex task, and despite limited resources, humans can speak fluently at a...
Baumann T, Schlangen D. Evaluating Prosodic Processing for Incremental Speech Synthesis. In: Procee...
Incrementality is a fundamental feature of language in real world use. To this point, however, the v...
We present a generic template for spoken dialogue systems integrating speech recognition and synthes...
Incremental dialogue processing has been an important topic in spoken dialogue systems research, but...
Incremental dialogue model components produce a sequence of output prefixes based on incoming input....
We present a general architecture for incremental interaction between modules in a speech-tointentio...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
The acceptance of natural language generation systems strongly depends on their capability to facili...
Schlangen D, Baumann T, Buschmeier H, Kopp S, Skantze G, Yaghoubzadeh R. Middleware for Incremental ...
Buß O, Baumann T, Schlangen D. Collaborating on Utterances with a Spoken Dialogue System Using an IS...
Incremental dialogue systems are able to process the user’s speech as it is spoken (without waiting ...