Sökning: "music Privacy"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden music Privacy.

  1. 1. Headphone Bubbles : Negotiating Space through Audio

    Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionen

    Författare :Erik Viktorsson; [2024]
    Nyckelord :Privacy; headphones; public space; audio; music; Integritet; hörlurar; offentliga rum; ljud; musik;

    Sammanfattning : Headphones are a common feature of public space. They allow users to determine what noise they hear and are visible to others. This paper aims to explore how headphones affect spatial perception through personal choice and social context. LÄS MER

  3. 2. The Gunnlod Dataset : Engineering a dataset for multi-modal music generation

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emil Johansson; Joel Lindgren; [2023]
    Nyckelord :Computer generated music; machine learning; musical instrument digital interfaces; ethics;

    Sammanfattning : This report details the creation of a new dataset named the Gunnlod dataset (after the Norse giantess who guarded the mead of poetry) for use in research in the field of machine learning as applied to music creation, particularly multi-modal music in the MIDI format of symbolic music representation. The dataset is based on a subset of approximately four fifths of the Lakh MIDI dataset. LÄS MER

  4. 3. Upphovsrättens paradigmskifte i eran av den fjärde industriella revolutionen - En studie om metamorfos av upphovsmannarättens föremål och personlig integritet i ljuset av deepfakes

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Författare :Emilia Ahnborg; [2023]
    Nyckelord :förmögenhetsrätt; EU-rätt; immaterialrätt; upphovsrätt; personlig integritet; deepfakes; artificiell intelligens; musikindustrin; Law and Political Science;

    Sammanfattning : In today's era, the fourth industrial revolution, we are facing a new technological reality. AI technology’s ability to, almost identically, simulate the voices of existing individuals in AI-generated works raises fundamental copyright issues about what should truly be protected by copyright. LÄS MER

  5. 4. Assessing the Viability of Random Indexing in Song Recommender Systems

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Erik Rosén; Sead Kozic; [2023]
    Nyckelord :;

    Sammanfattning : This thesis assesses how Random Indexing performs as a recommender system for music recommendations. Recommender systems have gotten more and more important as the amount of content provided gets larger and larger. They are usually focused on either product traits, and how they relate, or users and their past consumption. LÄS MER

  7. 5. Ethical Risk Analysis of the Use of AI in Music Production

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexandra Reje; [2022]
    Nyckelord :Artificial Intelligence; AI Ethics; Music Informatics; Artificiell intelligens; AI-etik; Musikinformatik;

    Sammanfattning : With the growing use of AI within new fields, the ethical problems that arise with AI have become a more prominent topic. Multiple ethical guidelines and frameworks have been proposed to aid companies and researchers to develop ethical products, but it is still lacking in execution. LÄS MER