Sökning: "musical instrument recognition"

Hittade 5 uppsatser innehållade orden musical instrument recognition.

  1. 1. Effects of different characteristics of sound data on multi-label classification accuracy

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Emelie Wästlund; Elin Saks; [2022]
    Nyckelord :;

    Sammanfattning : One of many areas to which machine learning can be applied is sound recognition. A multi-label classification problem is a problem where several sounds, which are played simultaneously, are to be identified. LÄS MER

  3. 2. Musical Instrument Activity Detection using Self-Supervised Learning and Domain Adaptation

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

    Författare :Carl Nyströmer; [2020]
    Nyckelord :Audio classification; music information retrieval; musical instrument recognition; musical instrument activity detection; self-supervised learning; domain adaptation; Ljudklassificering; hämtning av musikinformation; musikintrumentsigenkänning; instrumentaktivitetsigenkänning; självövervakad inlärning; domänadaption;

    Sammanfattning : With the ever growing media and music catalogs, tools that search and navigate this data are important. For more complex search queries, meta-data is needed, but to manually label the vast amounts of new content is impossible. LÄS MER

  4. 3. Musical Instrument Recognition using the Scattering Transform

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

    Författare :Laura Cros Vila; [2020]
    Nyckelord :Audio classication; music information retrieval; musical instrument recognition; scattering transform; Ljudklassicering; hämtning av musikinformation; igenkänning av musikinstrument; scattering transform;

    Sammanfattning : Thanks to the advancement of technological progress in networking and signal processing, we can access a large amount of musical content. In order for users to search among these vast catalogs, they need to have access to music-related information beyond the pure digital music file. LÄS MER

  5. 4. Musical Instrument Categorization using Spectral- and Cepstral Analysis

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Jakob Florén; Joel Torby; [2016]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis suggests and tests two methods for categorizing instruments in a musical signal. The first method involves spectral analysis and the magnitude spectrum, analysing the structure of pitches and overtones and how the amplitude of those changes over time. LÄS MER

  7. 5. Heinrich Wilhelm Ernst and his Contributions to the Development of Left-hand pizzicato and Harmonics.

    Magister-uppsats, Institutionen för musik- och teatervetenskap

    Författare :Tobias Wilczkowski; [2011]
    Nyckelord :Heinrich Wilhelm Ernst; violin; violin technique; Left-hand pizzicato; harmonics; Paganini;

    Sammanfattning : From the middle of the eighteenth century, the use of left-hand pizzicato and harmonics began to become more common in violin playing. Over time, these techniques underwent substantial developments thanks to several different violinists, among others Heinrich Wilhelm Ernst. LÄS MER