Sökning: "music genre classification"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden music genre classification.

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. Automatiserad genreklassificering av gitarrstämmor

   Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

   Författare :Oskar Persson; [2023]
   Nyckelord :;

   Sammanfattning : Ända sedan de första systemen för att automatisera processen att genreklassificeramusikstycken presenterades i början av 2000-talet, har en mängd olika tillvägagångssätt och tekniker framförts. De flesta av dessa system använder hela låtens musikarrangemang, men det har publicerats arbeten som undersöker ifall individuella instrumentstämmor innehåller tillräckligt med information för att klassificera genrer. LÄS MER

4. 3. Efficient Music Thumbnailing for Genre Classification

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Victor Tideman; [2022]
   Nyckelord :Dimensionality Reduction; Digital Signal Processing; Similarity; Music;

   Sammanfattning : 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. LÄS MER

7. 5. Klassifikation av noterad musik : en genreteoretisk undersökning

   Master-uppsats, Uppsala universitet/Institutionen för ABM

   Författare :William Lindvall; [2022]
   Nyckelord :Classification; Genre; Library- and Information Science; Music; Sheet music; Scores; DDC; LCC; SAB; Klassifikation; genre; biblioteks- och informationsvetenskap; musik; noter; noterad musik; DDK; LCC; SAB;

   Sammanfattning : Introduction. As a practicing musician a stylistic form of terminology is often used, which is commonly based off of genre-specific conventions and norms. As the common users of music libraries often are practicing musicians, genre is identified as a subject/element of great importance in order to fully describe music and scores. LÄS MER