TY - CHAP A1 - Baumann, Timo A1 - Buß, Okko A1 - Atterer, Michaela A1 - Schlangen, David T1 - Evaluating the Potential Utility of ASR N-Best Lists for Incremental Spoken Dialogue Systems T2 - Proceedings of Interspeech 2009 : speech and intelligence ; 6 - 10 September, 2009, Brighton, UK N2 - The potential of using ASR n-best lists for dialogue systems has often been recognised (if less often realised): it is often the case that even when the top-ranked hypothesis is erroneous, a bet- ter one can be found at a lower rank. In this paper, we describe metrics for evaluating whether the same potential carries over to incremental dialogue systems, where ASR output is consumed and reacted upon while speech is still ongoing. We show that even small N can provide an advantage for semantic process- ing, at a cost of a computational overhead. KW - dialogue systems KW - speech recognition KW - naturallanguage understanding KW - incrementality Y1 - 2009 U6 - https://doi.org/10.21437/Interspeech.2009-318 SP - 1031 EP - 1034 PB - ISCA CY - Brighton, UK ER - TY - CHAP A1 - Baumann, Timo A1 - Atterer, Michaela A1 - Schlangen, David T1 - Assessing and Improving the Performance of Speech Recognition for Incremental Systems T2 - NAACL '09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, May 31 - June 5, 2009, Boulder, Colorado, USA N2 - In incremental spoken dialogue systems, par- tial hypotheses about what was said are re- quired even while the utterance is still ongo- ing. We define measures for evaluating the quality of incremental ASR components with respect to the relative correctness of the par- tial hypotheses compared to hypotheses that can optimize over the complete input, the tim- ingof hypothesisformationrelative to the por- tion ofthe inputthey areabout, andhypothesis stability, defined as the number of times they are revised. We show that simple incremen- tal post-processing can improve stability dra- matically, at the cost of timeliness (from 90% of edits of hypotheses being spurious down to 10% at a lag of 320ms). The measures are not independent,and we show how system de- signers can find a desired operating point for their ASR. To our knowledge, we are the first to suggest and examine a variety of measures for assessing incremental ASR and improve performance on this basis. Y1 - 2009 UR - https://dl.acm.org/doi/10.5555/1620754.1620810 SN - 978-1-932432-41-1 SP - 380 EP - 388 PB - Association for Computational Linguistics ER - TY - CHAP A1 - Atterer, Michaela A1 - Baumann, Timo A1 - Schlangen, David T1 - No Sooner Said Than Done: Testing the Incrementality of Semantic Interpretations of Spontaneous Speech T2 - Proceedings of Interspeech 2009 : 6 - 10 September 2009, Brighton, U.K. N2 - Ideally, a spoken dialogue system should react without much delay to a user’s utterance. Such a system would already select an object, for instance, before the user has finished her utterance about moving this particular object to a particular place. A prerequisite for such a prompt reaction is that semantic representations are built up on the fly and passed on to other modules. Few approaches to incremental semantics construction exist, and, to our knowledge, none of those has been systematically tested on a spontaneous speech corpus. In this paper, we develop measures to test empirically on transcribed spontaneous speech to what extent we can create semantic interpretation on the fly with an incremental semantic chunker that builds a frame semantics. KW - incrementality KW - spoken dialogue systems KW - spontaneous speech KW - evaluation Y1 - 2009 U6 - https://doi.org/10.21437/Interspeech.2009-539 SP - 1855 EP - 1858 PB - International Speech Communication Association CY - Brighton, UK ER - TY - CHAP A1 - Atterer, Michaela A1 - Baumann, Timo A1 - Schlangen, David T1 - Towards Incremental End-of-Utterance Detection in Dialogue Systems T2 - COLING '08: Proceedings of the 22nd International Conference on Computational Linguistics, Manchester United Kingdom August 18 - 22, 2008 N2 - We define the task of incremental or 0-lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first results. We use a combination of hidden event language model, features from an incremental parser, and acoustic / prosodic features to train classifiers on real-world conversational data (from the Switchboard corpus). The best classifiers reach an F-score of around 56%, improving over baseline and related work. Y1 - 2008 UR - https://www.researchgate.net/publication/221101778_Towards_Incremental_End-of-Utterance_Detection_in_Dialogue_Systems SN - 978-1-905593-44-6 SP - 11 EP - 14 PB - Association for Computational Linguistics ER - TY - CHAP A1 - Schlangen, David A1 - Baumann, Timo A1 - Atterer, Michaela T1 - Incremental Reference Resolution: The Task, Metrics for Evaluation, and a Bayesian Filtering Model that is Sensitive to Disfluencies T2 - Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, September 11 - 12, 2009, London United Kingdom N2 - In this paper we do two things: a) we discuss in general terms the task of incre mental reference resolution (IRR), in particular resolution of exophoric reference, and specify metrics for measuring the performance of dialogue system components tackling this task, and b) we present a simple Bayesian filtering model of IRR that performs reasonably well just using words directly (no structure information and no hand-coded semantics): it picks the right referent out of 12 for around 50 % of real world dialogue utterances in our test corpus. It is also able to learn to interpret not only words but also hesitations, just as humans have shown to do in similar situations, namely as markers of references tohard-to-describe entities. Y1 - 2009 UR - https://clp.ling.uni-potsdam.de/publications/Schlangen-2009-2.pdf SP - 30 EP - 37 PB - Association for Computational Linguistics CY - London, UK ER -