Essays about: "Music classification"

Showing result 1 - 5 of 42 essays containing the words Music classification.

  1. 1. Hit song analysis on the Swedish music market : An exploration of hit song classification

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Hurtig; Petter Lager; [2023]
    Keywords : Music; Audio; Machine-learning; Hit-songs; Hit song prediction;

    Abstract : Assessing hit song potential is a challenge in the music industry. The question of what song to promote, which song to release first and whether or not it will succeed has always been an issue for stakeholders in the music business. The ability to statistically evaluate hit song potential is a growing field with several studies exploring the topic. READ MORE

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

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Gustaf Holst; Jan Niia; [2023]
    Keywords : machine learning; deep learning; audio;

    Abstract : 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. READ MORE

  4. 3. Evaluation of algorithms for accurate micro-doppler effects measurement in FMCW radar

    University essay from Linköpings universitet/Fysik, elektroteknik och matematik; Linköpings universitet/Tekniska fakulteten

    Author : Morgan Agerstig Rosenqvist; [2023]
    Keywords : Radar; FMCW; micro-Doppler; RPM;

    Abstract : Micro-Doppler effects are phenomena that occur because of micro-motion. A micro-motion is either a vibration, rotation, or acceleration which is small relative to the motion of the target. These effects can be used in order to characterize a target through their signature movement. READ MORE

  5. 4. Violin Artist Identification by Analyzing Raga-vistaram Audio

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nandakishor Ramlal; [2023]
    Keywords : Artist identification; Music information retrieval; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Embeddings; log-Melspectrogram; Artistidentifiering; återhämtning av musikinformation; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Inbäddningar; log-Melspektrogram;

    Abstract : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. READ MORE

  6. 5. Generating personalized music playlists based on desired mood and individual listening data

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Jennifer Svensson; [2023]
    Keywords : music recommendation; context-based music listening; mood regulation; affect regulation; Spotify Audio Features; music-mood classification; context-aware music recommendation;

    Abstract : Music listening is considered one of the most ubiquitous activities in everyday life, and one of the main reasons why people listen is to affect and regulate their mood. The vast availability and unlimited access of music has made it difficult to find relevant music that fits both the context and the preferences of the music listener. READ MORE