Essays about: "Music genre classification"

Showing result 1 - 5 of 9 essays containing the words Music genre classification.

  1. 1. 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

  3. 2. Efficient Music Thumbnailing for Genre Classification

    University essay from KTH/Matematisk statistik

    Author : Adam Skärbo Jonsson; [2022]
    Keywords : Music thumbnailing; Music genre classification; Machine learning; Deep learning; Bidirectional recurrent neural network; RNN; Musikgenreklassificering; Maskininlärning; Djupinlärning; RNN;

    Abstract : For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This is done to avoid analysis of the full audio during classification. READ MORE

  4. 3. Organization of Electronic Dance Music by Dimensionality Reduction

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Victor Tideman; [2022]
    Keywords : Dimensionality Reduction; Digital Signal Processing; Similarity; Music;

    Abstract : This thesis aims to produce a similarity metric for tracks of the genre: Electronic Dance Music, by taking a high-dimensional data representation of each track and then project it to a low-dimensional embedded space (2D and 3D) by applying two Dimensionality Reduction (DR) techniques called t-distributed stochastic neighbor embedding (t-SNE) and Pairwise Controlled Manifold Approximation (PaCMAP). A content-based approach is taken to identify similarity, which is defined as the distances between points in the embedded space. READ MORE

  5. 4. Analyzing music genre classification using item response theory : A case study of the GTZAN data

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

    Author : Benedith Mulongo; [2020]
    Keywords : ;

    Abstract :  Machine learning models are usually evaluated by metrics such as accuracy, confusion matrix, recall. Those metrics are used in evaluation methods for assessing the models. READ MORE

  6. 5. Language Classification of Music Using Metadata

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Linus Roxbergh; [2019]
    Keywords : Music; Metadata; Language; Classification; Machine Learning; Spotify; Multiclass; Feature Importance;

    Abstract : The purpose of this study was to investigate how metadata from Spotify could be used to identify the language of songs in a dataset containing nine languages. Features based on song name, album name, genre, regional popularity and vectors describing songs, playlists and users were analysed individually and in combination with each other in different classifiers. READ MORE