Essays about: "Music Information Retrieval"

Showing result 1 - 5 of 16 essays containing the words Music Information Retrieval.

  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. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings

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

    Author : Andres Alonso Toledo Carrera; [2023]
    Keywords : Beat tracking; Metrical grid; Jazz; Music Information Retrieval; Deep Learning; Temporal Convolutional Network; Beatuppskattning; Metriskt rutnät; Jazz; Music Informationshämting; Deep Learning; Temporal Convolutional Network;

    Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE

  4. 3. 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

  5. 4. Beat Tracking of Jazz Instruments : Performance of Beat Tracking Algorithms on Jazz Drums and Double-Bass

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

    Author : Oskar Svanström; Linnéa Gustafsson; [2022]
    Keywords : Music information retrieval MIR ; Beat tracking; Jazz; Single instrument recordings; Algorithm evaluation.;

    Abstract : Beat tracking is a common research area within music information retrieval (MIR). Jazz is a musical genre that is commonly rich in rhythmical complexity, which makes beat tracking challenging. The aim of this study is to analyze how well beat tracking algorithms detect the beats of jazz instruments. READ MORE

  6. 5. Expressive Automatic Music Transcription : Using hard onset detection to transcribe legato slurs for violin

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

    Author : Simon Falk; [2022]
    Keywords : Automatic Music Transcription; Signal Processing; Convolutional Neural Networks; Onset Detection; Music Information Retrieval; Automatisk musiktranskription; Signalbearbetning; Faltningsnätverk; Ansatsdetektion; Informationssökning av musik;

    Abstract : Automatic Music Transcriptions systems such as ScoreCloud aims to convert audio signals to sheet music. The information contained in sheet music can be divided into increasingly descriptive layers, where most research on Automatic Music Transcription is restricted on note-level transcription and disregard expressive markings such as legato slurs. READ MORE