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Development of an Annotated Multimodal Dataset for the Investigation of Classification and Summarisation of Presentations using High-Level Paralinguistic Features.

, , and . LREC, European Language Resources Association (ELRA), (2018)

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Emotional speech: Towards a new generation of databases., , , and . Speech Commun., 40 (1-2): 33-60 (2003)Towards Classification of Engagement in Human Interaction with Talking Robots., , , , , and . HCI (27), volume 528 of Communications in Computer and Information Science, page 741-746. Springer, (2015)Design of speech corpora for use in concatenative synthesis systems.. LREC, page 1309-1312. European Language Resources Association, (1998)Voice quality: Not only about "you" but also about "your interlocutor"., , and . ICASSP, page 4739-4743. IEEE, (2015)The Herme Database of Spontaneous Multimodal Human-Robot Dialogues., , , , and . LREC, page 1328-1331. European Language Resources Association (ELRA), (2012)Automatic Classification and Prediction of Attitudes: Audio - Visual Analysis of Video Blogs., , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 96-104. Springer, (2015)Objective distance measures for assessing concatenative speech synthesis., and . EUROSPEECH, page 611-614. ISCA, (1999)The role of F0 and duration in signalling affect in Japanese: anger, kindness and Politeness., , , , and . ICSLP, page 1447-1450. ISCA, (1994)Perceptually-related acoustic-prosodic features of phrase finals in spontaneous speech., , and . INTERSPEECH, page 405-408. ISCA, (2003)Non-audible murmur recognition., , , and . INTERSPEECH, page 2601-2604. ISCA, (2003)