Sökning: "Musikinformatik"

Hittade 4 uppsatser innehållade ordet Musikinformatik.

  1. 1. 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

  2. 2. Teaching an Agent to Replicate Melodies by Listening : A Reinforcement Learning Approach to Generating Piano Rolls and Parameters of Physically Modeled Instruments from Target Audios

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

    Författare :Wille Eriksson; [2022]
    Nyckelord :Reinforcement Learning; Music Informatics; Audio Processing; Physical Models; Instruments; Förstärkningsinlärning; Musikinformatik; Ljudbehandling; Fysiska modeller; Instrument;

    Sammanfattning : Reinforcement learning has seen great improvements in recent years, with new frameworks and algorithms continually being developed. Some efforts have also been made to incorporate this method into music in various ways. LÄS MER

  3. 3. Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

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

    Författare :Svante Haapanen Rollenhagen; [2021]
    Nyckelord :Deep Learning; Music Recommendation; Recommendation Systems; Music Informatics.; Djupinlärning; Musikrekommendation; Rekommendationssystem; Musikinformatik.;

    Sammanfattning : This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. LÄS MER

  4. 4. LjudMAP: A Visualization Tool for Exploring Audio Collections with Real-Time Concatenative Synthesis Capabilities

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

    Författare :Victor Hansjons Vegeborn; [2020]
    Nyckelord :;

    Sammanfattning : This thesis presents the software tool “LjudMAP," which fuses techniques of music informatics and unsupervised machine learning methods to assist in the exploration of audio collections. LjudMAP builds on concepts of the software tool, "Temporally Disassembled Audio," which was developed to enable fast browsing of recorded speech material. LÄS MER