920 research outputs found
The Spoken Wikipedia Corpora
No full textThe Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Timo Baumann and Arne Köhn and Felix Hennig. 2018. The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening, in Language Resources and Evaluation, Special Issue representing significant contributions of LREC 2016.
Arne Köhn, Florian Stegen, Timo Baumann. 2016. Mining the Spoken Wikipedia for Speech Data and Beyond, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
CLARIN Metadata summary for The Spoken Wikipedia Corpora (CMDI-based)
Title: The Spoken Wikipedia Corpora
Description: The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Publication date: 2017
Data owner: Timo Baumann - Universität Hamburg
Contributors: Timo Baumann (author), Arne Köhn (author), Florian Stegen (author)
Languages: English (eng), German (deu), Dutch (nld)
Size: 5397 article, 1005 hour
Segmentation units: other
Genre: encyclopedia
Modality: spoken
References: Timo Baumann; Arne Köhn; Felix Hennig (2018) The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening References: Arne Köhn; Florian Stegen; Timo Baumann (2016) Mining the Spoken Wikipedia for Speech Data and Beyon
Evaluation and Optimisation of Incremental Processors
No full textBaumann T, Buß O, Schlangen D. Evaluation and Optimisation of Incremental Processors. Dialogue and Discourse. 2011;2(1):113-141
Open-ended, Extensible System Utterances Are Preferred, Even If They Require Filled Pauses
No full textBaumann T, Schlangen D. Open-ended, Extensible System Utterances Are Preferred, Even If They Require Filled Pauses. In: Proceedings of Short Papers at SIGdial 2013. 2013
Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User's Ongoing Turn
No full textBaumann T, Schlangen D. Predicting the Micro-Timing of User Input for an Incremental Spoken Dialogue System that Completes a User's Ongoing Turn. Presented at the SIGdial 2011, Portland, OR, USA
Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding
No full textPeldszus A, Buß O, Baumann T, Schlangen D. Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding. Presented at the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France
The InproTK 2012 release
No full textBaumann T, Schlangen D. The InproTK 2012 release. In: Eskenazi M, Black A, Traum D, eds. SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data. Stroudsburg, PA: ACL; 2012: 29-32
Collaborating on Utterances with a Spoken Dialogue System Using an ISU-based Approach to Incremental Dialogue Management
No full textBuß O, Baumann T, Schlangen D. Collaborating on Utterances with a Spoken Dialogue System Using an ISU-based Approach to Incremental Dialogue Management. In: Proceedings of the SIGdial 2010 Conference. Tokyo, Japan; 2010: 233-236
Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
No full textHeintze S, Baumann T, Schlangen D. Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding. In: Proceedings of the SIGdial 2010 Conference. Tokyo, Japan; 2010: 9-16
TELIDA: A Package for Manipulation and Visualisation of Timed Linguistic Data
No full textvon der Malsburg T, Baumann T, Schlangen D. TELIDA: A Package for Manipulation and Visualisation of Timed Linguistic Data. In: Proceedings of the Poster Session at SIGdial 2009, the 10th Annual SIGDIAL Meeting on Discourse and Dialogue. London, UK; 2009
Evaluating Prosodic Processing for Incremental Speech Synthesis
No full textBaumann T, Schlangen D. Evaluating Prosodic Processing for Incremental Speech Synthesis. In: Proceedings of Interspeech. 2012
- …
