Sökning: "Automatic Music Transcription"

Hittade 3 uppsatser innehållade orden Automatic Music Transcription.

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

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

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

    Sammanfattning : 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. LÄS MER

  3. 2. An exploration of the current state-of-the-art in automatic music transcription - with proposed improvements using machine learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Joel Torby; [2018]
    Nyckelord :Music transcription; music annotation; fundamental frequency estimation; machine learning; neural networks; mirex; Mathematics and Statistics;

    Sammanfattning : The research field of automatic music transcription has vastly grown during the 21st century, where the goal is to transcribe a polyphonic music signal into annotated sheet music. Within this field, the subproblem of fundamental frequency estimation in a piece of music is a difficult problem, e.g. LÄS MER

  4. 3. Onset detection in polyphonic music

    Master-uppsats, KTH/Tal, musik och hörsel, TMH

    Författare :Nils Efraimsson; [2017]
    Nyckelord :Acoustics; onset detection; Musikakustik; ansatsdetektion;

    Sammanfattning : In music analysis, the beginning of events in a music signal (i.e. sound onset detection) is important for such tasks as sound segmentation, beat recognition and automatic music transcription. The aim of the present work was to make an algorithm for sound onset detection with better performance than other state-of-the-art1 algorithms. LÄS MER