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Träfflista för sökning ""Bob" ;hsvcat:6"

Sökning: "Bob" > Humaniora

  • Resultat 1-10 av 73
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1.
  • Castaldo Lundén, Elizabeth, Assistant Professor, 1974- (författare)
  • Bob Mackie
  • 2023
  • Ingår i: The Bloomsbury Encyclopedia of Film and Television Costume Design. - London : Bloomsbury Visual Arts. - 9781472521552
  • Bokkapitel (refereegranskat)
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2.
  • Frame, Bob, et al. (författare)
  • Tourism and heritage in Antarctica : exploring cultural, natural and subliminal experiences
  • 2022
  • Ingår i: Polar Geography. - : Informa UK Limited. - 1088-937X .- 1939-0513. ; 45:1, s. 37-57
  • Tidskriftsartikel (refereegranskat)abstract
    • The guidelines on heritage management adopted by the 2018 Antarctic Treaty Consultative Meeting provide the most recent iteration for an Antarctic tourism sector which had, prior to the COVID-19 pandemic, been projected to increase further with various risks and potential impacts requiring careful management. In this paper the role of cultural heritage for tourism prior to the COVID-19 pandemic is examined through three empirical perspectives. First, how the Antarctic cultural heritage is represented through the designation of Historic Sites and Monuments and Site Guidelines for Visitors; then how this is presented through tourism operators’ websites; and, finally, how it is experienced by visitors as narrated in open-source social media information. Each dataset suggests that, while cultural heritage is an important component of an increasingly commodified tourist offering, it is only part of an assemblage of elements which combine to create a subliminal and largely intangible Antarctic experience. In particular, a polarization of the heritage experience between cultural and natural does not appear productive. The paper proposes a more nuanced understanding of heritage tourism in Antarctica which accommodates the notion of a hybrid experience that integrates cultural heritage, the history and stories this heritage represents, and the natural environmental setting. 
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3.
  • Sturm, Bob, 1975-, et al. (författare)
  • Editorial for TISMIR Special Collection : AI and Musical Creativity
  • 2022
  • Ingår i: Transactions of the International Society for Music Information Retrieval. - : Ubiquity Press, Ltd.. - 2514-3298. ; 5:1, s. 67-70
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • This special issue focuses on research developments and critical thought in the domain of artificial intelligence (AI) applied to modeling and creating music. It is motivated by the AI Song Contests of 2020 and 2021, in which the four guest editors adjudicated or participated among many teams from around the world. The 2020 edition had 13 submissions and the 2021 edition had 38. The 2022 edition is now being planned. These unique events provide exciting opportunities for AI music researchers to test the state of the art and push the boundaries of what is possible, within the context of music creation. They portend a future when humans and machines work together as partners in music creation. Maybe "portend" is not the right term, but we must not think that the future of AI and music is only warm and fuzzy. It is important and timely to consider how we, in local and global contexts, can effectively and ethically develop and apply AI in contexts of music creation.
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4.
  • Sturm, Bob, 1975- (författare)
  • The Ai music generation challenge 2021 : Summary and results
  • 2022
  • Ingår i: Proceedings of the 3rd Conference on AI Music Creativity, AIMC.
  • Konferensbidrag (refereegranskat)abstract
    • We discuss the design and results of The Ai Music Generation Challenge 2021 and compare it to the challenge of the previous year. While the 2020 challenge was focused on the Irish double jig, the 2021 challenge was focused on a particular kind of Swedish traditional dance music, called slängpolska. Six systems participated in the 2021 challenge, each generating a number of tunes evaluated by five judges, all professional musicians and experts in the music style. In the first phase, the judges reject all tunes that are plagiarised, or that have incorrect meter or rhythm. In the second phase, they score the remaining tunes along four qualities: dancability, structure coherence, formal coherence, and playability. The judges know all the tunes are computer generated, but do not know what tunes come from what systems, or what kinds of machine learning and data are involved. In the third stage, the judges award prizes to the top tunes. This resulted in five tunes garnering first and second prizes, four of which come from one particular system. We perform a statistical analysis of the scores from all judges, which allows a quantitative comparison of all factors in the challenge. Finally, we look to the 2022 challenge. 
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  • Dumitrescu, Delia, et al. (författare)
  • Textrunium
  • 2015
  • Annan publikation (refereegranskat)
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