TY - JOUR A1 - Krüger, Norbert A1 - Fischer, Kerstin A1 - Manoonpong, Poramate A1 - Palinko, Oskar A1 - Bodenhagen, Leon A1 - Baumann, Timo A1 - Kjærum, Jens A1 - Rano, Ignacio A1 - Naik, Lakshadeep A1 - Juel, William Kristian A1 - Haarslev, Frederik A1 - Ignasov, Jevgeni A1 - Marchetti, Emanuela A1 - Langedijk, Rosalyn Melissa A1 - Kollakidou, Avgi A1 - Jeppesen, Kasper Camillus A1 - Heidtmann, Conny A1 - Dalgaard, Lars T1 - The SMOOTH-Robot: A Modular, Interactive Service Robot JF - Frontiers in Robotics and AI N2 - The SMOOTH-robot is a mobile robot that-due to its modularity-combines a relatively low price with the possibility to be used for a large variety of tasks in a wide range of domains. In this article, we demonstrate the potential of the SMOOTH-robot through three use cases, two of which were performed in elderly care homes. The robot is designed so that it can either make itself ready or be quickly changed by staff to perform different tasks. We carefully considered important design parameters such as the appearance, intended and unintended interactions with users, and the technical complexity, in order to achieve high acceptability and a sufficient degree of utilization of the robot. Three demonstrated use cases indicate that such a robot could contribute to an improved work environment, having the potential to free resources of care staff which could be allocated to actual care-giving tasks. Moreover, the SMOOTH-robot can be used in many other domains, as we will also exemplify in this article. KW - human–robot interaction KW - mobile robots KW - proactive control KW - service robots KW - socially aware navigation Y1 - 2021 U6 - https://doi.org/10.3389/frobt.2021.645639 VL - 8 PB - Frontiers ER - TY - JOUR A1 - Fischer, Kerstin A1 - Bodenhagen, Leon A1 - Krüger, Norbert A1 - Andersen, Morten Østergaard A1 - Baumann, Timo T1 - Trinvise og delte strategier for kontrol af velfærdsrobotter JF - Medicoteknik Y1 - 2015 UR - http://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2015/1/?Page=11 VL - 2 IS - 1 SP - 11 EP - 13 PB - TechMedia ER - TY - JOUR A1 - Meyer-Sickendiek, Burkhard A1 - Hussein, Hussein A1 - Baumann, Timo T1 - Towards the Creation of a Poetry Translation Mapping System JF - Archives of Data Science, Series A N2 - The translation of poetry is a complex, multifaceted challenge: the translated text should communicate the same meaning, similar metaphoric expressions, and also match the style and prosody of the original poem. Research on machine poetry translation is existing since 2010, but for four reasons it is still rather insufficient: 1. The few approaches existing completely lack any knowledge about current developments in both lyric theory and translation theory. 2. They are based on very small datasets. 3. They mostly ignored the neural learning approach that superseded the long-standing dominance of phrase-based approaches within machine translation. 4. They have no concept concerning the pragmatic function of their research and the resulting tools. Our paper describes how to improve the existing research and technology for poetry translations in exactly these four points. With regards to 1) we will describe the “Poetics of Translation”. With regards to 2) we will introduce the Worlds largest corpus for poetry translations from lyrikline. With regards to 3) we will describe first steps towards a neural machine translation of poetry. With regards to 4) we will describe first steps towards the development of a poetry translation mapping system. Y1 - 2018 U6 - https://doi.org/10.5445/KSP/1000087327/21 SN - 2363-9881 VL - 5 IS - 1 SP - 1 EP - 15 PB - Towards the Creation of a Poetry Translation Mapping System ER - TY - JOUR A1 - Baumann, Timo A1 - Köhn, Arne A1 - Hennig, Felix T1 - The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening JF - Language Resources and Evaluation N2 - Spoken corpora are important for speech research, but are expensive to create and do not necessarily reflect (read or spontaneous) speech ‘in the wild’. We report on our conversion of the preexisting and freely available Spoken Wikipedia into a speech resource. The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. There are initiatives to create and sustain Spoken Wikipedia versions in many languages and hence the available data grows over time. Thousands of spoken articles are available to users who prefer a spoken over the written version. We turn these semi-structured collections into structured and time-aligned corpora, keeping the exact correspondence with the original hypertext as well as all available metadata. Thus, we make the Spoken Wikipedia accessible for sustainable research. We present our open-source software pipeline that downloads, extracts, normalizes and text–speech aligns the Spoken Wikipedia. Additional language versions can be exploited by adapting configuration files or extending the software if necessary for language peculiarities. We also present and analyze the resulting corpora for German, English, and Dutch, which presently total 1005 h and grow at an estimated 87 h per year. The corpora, together with our software, are available via http://islrn.org/resources/684-927-624-257-3/. As a prototype usage of the time-aligned corpus, we describe an experiment about the preferred modalities for interacting with information-rich read-out hypertext. We find alignments to help improve user experience and factual information access by enabling targeted interaction. KW - Annotation KW - Eyes-free speech access KW - Found data KW - Robust text–speech alignment KW - Speech corpus KW - Spoken hypertext KW - Wikipedia Y1 - 2019 U6 - https://doi.org/10.1007/s10579-017-9410-y VL - 53 IS - 2 SP - 303 EP - 329 PB - Springer Nature ER - TY - JOUR A1 - Nigel G. Ward, A1 - Vega, Alejandro A1 - Baumann, Timo T1 - Prosodic and Temporal Features for Language Modeling for Dialog JF - Speech Communication N2 - If we can model the cognitive and communicative processes underlying speech, we should be able to better predict what a speaker will do. With this idea as inspiration, we examine a number of prosodic and timing features as potential sources of information on what words the speaker is likely to say next. In spontaneous dialog we find that word probabilities do vary with such features. Using perplexity as the metric, the most informative of these included recent speaking rate, volume, and pitch, and time until end of utterance. Using simple combinations of such features to augment trigram language models gave up to a 8.4% perplexity benefit on the Switchboard corpus, and up to a 1.0% relative reduction in word error rate (0.3% absolute) on the Verbmobil II corpus. KW - Dialog dynamics KW - Dialog state KW - Prosody KW - Interlocutor behavior KW - Word probabilities KW - Prediction KW - Perplexity KW - Speech recognition KW - Switchboard corpus KW - Verbmobil corpus Y1 - 2012 U6 - https://doi.org/10.1016/j.specom.2011.07.009 VL - 54 IS - 2 SP - 161 EP - 174 PB - ELSEVIER ER - TY - JOUR A1 - Baumann, Timo A1 - Buß, Okko A1 - Schlangen, David T1 - Evaluation and Optimisation of Incremental Processors JF - Dialogue & Discourse N2 - Incremental spoken dialogue systems, which process user input as it unfolds, pose additionalengineering challenges compared to more standard non-incremental systems: Their processingcomponents must be able to accept partial, and possibly subsequently revised input, and mustproduce output that is at the same time as accurate as possible and delivered with as little delay aspossible. In this article, we define metrics that measure how well a given processor meets thesechallenges, and we identify types of gold standards for evaluation. We exemplify these metrics inthe evaluation of several incremental processors that we have developed. We also present genericmeans to optimise some of the measures, if certain trade-offs are accepted. We believe that thiswork will help enable principled comparison of components for incremental dialogue systems andportability of results. KW - evaluation KW - incrementality, KW - spoken dialogue systems KW - incremental processing KW - timing Y1 - 2011 U6 - https://doi.org/10.5087/dad.2011.106 VL - 2 IS - 1 SP - 113 EP - 141 PB - OJS ER -