Výsledky vyhledávání - "Sven Ewan Shepstone"

The Importance of Context When Recommending TV Content:Dataset and Algorithms

Autor: Sven Ewan Shepstone, Miklas Strøm Kristoffersen, Zheng-Hua Tan

Publikováno v: Kristoffersen, M S, Shepstone, S E & Tan, Z-H 2020, ' The Importance of Context When Recommending TV Content : Dataset and Algorithms ', I E E E Transactions on Multimedia, vol. 22, no. 6, 8851276, pp. 1531-1541 . https://doi.org/10.1109/TMM.2019.2944214

Home entertainment systems feature in a variety of usage scenarios with one or more simultaneous users, for whom the complexity of choosing media to consume has increased rapidly over the last decade. Users' decision processes are complex and highly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6250e8ed418f23791ae835ceb36f4fa8
https://vbn.aau.dk/ws/files/372798560/1808.00337.pdf

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Total Variability Modeling Using Source-Specific Priors

Autor: Haizhou Li, Kong Aik Lee, Zheng-Hua Tan, Sven Ewan Shepstone, Søren Holdt Jensen

Publikováno v: Shepstone, S E, Lee, K A, Li, H, Tan, Z-H & Jensen, S H 2016, ' Total Variability Modeling using Source-specific Priors ', I E E E Transactions on Audio, Speech and Language Processing, vol. 24, no. 3, pp. 504-517 . https://doi.org/10.1109/TASLP.2016.2515506

In total variability modeling, variable length speech utterances are mapped to fixed low-dimensional i-vectors. Central to computing the total variability matrix and i-vector extraction, is the computation of the posterior distribution for a latent v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9d7168b441c205ecf3da72125732af
https://doi.org/10.1109/taslp.2016.2515506

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A Dataset for Inferring Contextual Preferences of Users Watching TV

Autor: Zheng-Hua Tan, Sven Ewan Shepstone, Miklas Strøm Kristoffersen

Publikováno v: Kristoffersen, M S, Shepstone, S E & Tan, Z-H 2018, A Dataset for Inferring Contextual Preferences of Users Watching TV . in UMAP 2018-Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization : UMAP '18 . Association for Computing Machinery, Singapore, Singapore, pp. 367-368, the 26th Conference on User Modeling, Adaptation and Personalization, Singapore, Singapore, 08/07/2018 . https://doi.org/10.1145/3209219.3209263
UMAP

Studies have shown that contextual settings play an important role in users' decision processes of what to consume, but data supporting the investigation of context-aware recommender systems are scarce. In this paper we present a TV consumption datas

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https://vbn.aau.dk/ws/files/279734141/UMAP18_Kristoffersen_optimized.pdf

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iSocioBot;:A Multimodal Interactive Social Robot

Autor: Morten Højfeldt Rasmussen, Xiaodong Duan, Nicolai Bæk Thomsen, Evgenios Vlachos, Sven Ewan Shepstone, Jesper Lisby Højvang, Zheng-Hua Tan

Publikováno v: Tan, Z-H, Thomsen, N B, Duan, X, Vlachos, E, Shepstone, S E, Rasmussen, M H & Højvang, J L 2018, ' iSocioBot; A Multimodal Interactive Social Robot ', International Journal of Social Robotics, vol. 10, no. 1, pp. 5-19 . https://doi.org/10.1007/s12369-017-0426-7

We present one way of constructing a social robot, such that it is able to interact with humans using multiple modalities. The robotic system is able to direct attention towards the dominant speaker using sound source localization and face detection,

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https://vbn.aau.dk/da/publications/d06949a3-f859-421d-acca-0d542ed1f615

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Subjective Annotations for Vision-Based Attention Level Estimation

Autor: Andrea Lucena Coifman, Péter Rohoska, Sven Ewan Shepstone, Miklas Strøm Kristoffersen, Zheng-Hua Tan

Publikováno v: Coifman, A L, Rohoska, P, Kristoffersen, M S, Shepstone, S E & Tan, Z-H 2019, Subjective Annotations for Vision-Based Attention Level Estimation . in A Kerren, C Hurter & J Braz (eds), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Volume 5: VISAPP . vol. 5, SCITEPRESS Digital Library, pp. 249-256, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Visigrapp 2019), Prague, Czech Republic, 25/02/2019 . https://doi.org/10.5220/0007311402490256
VISIGRAPP (5: VISAPP)

Attention level estimation systems have a high potential in many use cases, such as human-robot interaction, driver modeling and smart home systems, since being able to measure a person's attention level opens the possibility to natural interaction b

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Using Closed-Set Speaker Identification Score Confidence to Enhance Audio-Based Collaborative Filtering for Multiple Users

Autor: Sven Ewan Shepstone, Zheng-Hua Tan, Miklas Strøm Kristoffersen

Publikováno v: Shepstone, S E, Tan, Z-H & Kristoffersen, M S 2018, ' Using Closed-Set Speaker Identification Score Confidence to Enhance Audio-Based Collaborative Filtering for Multiple Users ', IEEE Transactions on Consumer Electronics, vol. 64, no. 1, pp. 11-18 . https://doi.org/10.1109/TCE.2018.2811250

In this paper, we utilize a closed-set speaker-identification approach to convey the ratings needed for collaborative filtering-based recommendation. Instead of explicitly providing a rating for a given program, users use a speech interface to dictat

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https://vbn.aau.dk/ws/files/280048422/Shepstone_TCE_2018.pdf

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Audio-based Granularity-adapted Emotion Classification

Autor: Søren Holdt Jensen, Sven Ewan Shepstone, Zheng-Hua Tan

Publikováno v: Shepstone, S E, Tan, Z-H & Jensen, S H 2018, ' Audio-based Granularity-adapted Emotion Classification ', IEEE Transactions on Affective Computing, vol. 9, no. 2, pp. 176-190 . https://doi.org/10.1109/TAFFC.2016.2598741

This paper introduces a novel framework for combining the strengths of machine-based and human-based emotion classification. Peoples' ability to tell similar emotions apart is known as emotional granularity, which can be high or low, and is measurabl

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https://vbn.aau.dk/da/publications/5ddcbd98-98dd-4d6d-b672-fdcfc1164ead

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Using Audio-Derived Affective Offset to Enhance TV Recommendation

Autor: Zheng-Hua Tan, Søren Holdt Jensen, Sven Ewan Shepstone

Publikováno v: Shepstone, S E, Tan, Z-H & Jensen, S H 2014, ' Using Audio-Derived Affective Offset to Enhance TV Recommendation ', I E E E Transactions on Multimedia, vol. 16, no. 7, pp. 1999-2010 . https://doi.org/10.1109/TMM.2014.2337845

This paper introduces the concept of affective offset, which is the difference between a user's perceived a ffective state and the affective annotation of the content they wish to see. We show how this affective offset can be used within a framework

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76ed06d1c7f92201021b1b203441ca4b
https://doi.org/10.1109/tmm.2014.2337845

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Audio-based age and gender identification to enhance the recommendation of TV content

Autor: Søren Holdt Jensen, Sven Ewan Shepstone, Zheng-Hua Tan

Publikováno v: Shepstone, S E, Tan, Z-H & Jensen, S H 2013, ' Audio-based Age and Gender Identification to Enhance the Recommendation of TV Content ', I E E E Transactions on Consumer Electronics, vol. 59, no. 3, pp. 721-729 . https://doi.org/10.1109/TCE.2013.6626261

Recommending TV content to groups of viewers is best carried out when relevant information such as the demographics of the group is available. However, it can be difficult and time consuming to extract information for every user in the group. This pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8879067893d4aca1e1ab62173c4ef8e
https://doi.org/10.1109/tce.2013.6626261

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Source-specific Informative Prior for i-Vector Extraction

Autor: Søren Holdt Jensen, Haizhou Li, Zheng-Hua Tan, Kong Aik Lee, Sven Ewan Shepstone

Publikováno v: Shepstone, S E, Lee, K A, Li, H, Tan, Z-H & Jensen, S H 2015, Source-specific Informative Prior for i-Vector Extraction . in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 . IEEE Signal Processing Society, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 4185-4189, 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Australia, 19/04/2015 . https://doi.org/10.1109/ICASSP.2015.7178759
ICASSP

An i-vector is a low-dimensional fixed-length representation of a variable-length speech utterance, and is defined as the posterior mean of a latent variable conditioned on the observed feature sequence of an utterance. The assumption is that the pri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66ed2456f8970c1a039fb30694de4ee
https://vbn.aau.dk/da/publications/fb956522-d4b7-453a-a9aa-ddfdb22d26db

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