Sökning: "spectral music"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden spectral music.

  1. 1. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Gustaf Holst; Jan Niia; [2023]
    Nyckelord :machine learning; deep learning; audio;

    Sammanfattning : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. LÄS MER

  3. 2. Managing and Highlighting Hearing Disorders Within the Studio Mixing Engineer Community

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Rebecka Rothstein; [2021]
    Nyckelord :Audio; Hearing Health; Hearing Disorders;

    Sammanfattning : A sound engineers’ hearing is their most important and vulnerable tool. Many professions within the music industry are considered a risk group for sound induced hearing disorders, but there is not much research specifically about how sound engineers hearing suffers from exposure. LÄS MER

  4. 3. Recommend Songs With Data From Spotify Using Spectral Clustering

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Daniel Barreira; Nazar Maksymchuk Netterström; [2021]
    Nyckelord :;

    Sammanfattning : Spotify, which is one of the worlds biggest music services, posted a data set and an open-ended challenge for music recommendation research. This study's goal is to recommend songs to playlists with the given data set from Spotify using Spectral clustering. LÄS MER

  5. 4. Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Oscar Schedin; [2021]
    Nyckelord :Target Spectrum; Frequency Spectrum; Spectral Conventions; Rock; Electronic Music; Sub Bass; Comparison; Long-Term Average Spectrum; Mastering; Mixing; Billboard; Music Production; Reference Tracks; Sound Engineering; Popular Music; Hit Songs; Spectral Analysis;

    Sammanfattning : Through the analysis of the spectral characteristics of thousands of mastered (or remastered) commercial recordings from a variety of genres over the history of popular music, researchers have studied stylistic trends and spectral conventions. The aim of this study was to further explore, analyse and compare the spectral characteristics of two broad but distinct popular music genres: rock and vocal-based electronic music. LÄS MER

  7. 5. Content-based music recommendation system : A comparison of supervised Machine Learning models and music features

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

    Författare :Marine Chemeque Rabel; [2020]
    Nyckelord :;

    Sammanfattning : As streaming platforms have become more and more popular in recent years and music consumption has increased, music recommendation has become an increasingly relevant issue. Music applications are attempting to improve their recommendation systems in order to offer their users the best possible listening experience and keep them on their platform. LÄS MER