Sökning: "MUSIC algorithm."

Visar resultat 1 - 5 av 66 uppsatser innehållade orden MUSIC algorithm..

1. 1. Hit song analysis on the Swedish music market : An exploration of hit song classification

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

   Författare :David Hurtig; Petter Lager; [2023]
   Nyckelord :Music; Audio; Machine-learning; Hit-songs; Hit song prediction;

   Sammanfattning : Assessing hit song potential is a challenge in the music industry. The question of what song to promote, which song to release first and whether or not it will succeed has always been an issue for stakeholders in the music business. The ability to statistically evaluate hit song potential is a growing field with several studies exploring the topic. LÄS MER

3. 2. TikTok-fällan, vad går att lita på? : En undersökning om generation Z och deras förmåga att källkritiskt granska samhällsnyttig information på TikTok

   Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Engla Sigeback; Jennifer Olsson; [2023]
   Nyckelord :TikTok; Generation Z; source criticism; socially useful information; algorithm; filter bubbles; misinformation; TikTok; generation Z; källkritik; samhällsnyttig information; algoritm; filterbubblor; desinformation;

   Sammanfattning : TikTok är en snabbt växande plattform som främst används av generation Z. Innehållet på plattformen har förändrats de senaste åren, där det har gått från att i störst del bestå av dans och musik till att numera även beröra ämnen som politik, aktivism och nyheter. LÄS MER

4. 3. Modeling Melodic Accents in Jazz Solos

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

   Författare :Misael Berrios Salas; [2023]
   Nyckelord :Accents; Jazz Solo; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamic; Accenter; Jazz Solos; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamisk;

   Sammanfattning : This thesis looks at how accurately one can model accents in jazz solos, more specifically the sound level. Further understanding the structure of jazz solos can give a way of pedagogically presenting differences within music styles and even between performers. Some studies have tried to model perceived accents in different music styles. LÄS MER

5. 4. The Well Trained Algorithm : An exploration of the use of AI as a tool for musical expression

   Master-uppsats, Kungl. Musikhögskolan/Institutionen för komposition, dirigering och musikteori

   Författare :Muiredach O'Riain; [2023]
   Nyckelord :Artificial Intelligence; AI; Machine Learning; ML; Generative Music; J. S. Bach; LaMonte Young; The Well Tempered Clavier; The Well Tuned Piano; Tuning System; Instrumentisation;

   Sammanfattning : The Well Trained Algorithm is a composition that challenges prevailing conceptions of the use of AI tools in music through the reconceptualising of JukeBox, a generative AI model for music, as an instrument in its own right. Here, I am coining the term ‘instrumentisation’ to describe a methodology for applying the qualities and associations of a musical instrument to a traditionally non-musical object. LÄS MER

7. 5. How an AI colleague affect the experiance of content creation

   Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Gustaf Larsson; Valter Lindecrantz; [2023]
   Nyckelord :Artificial Intelligence; Game Development; Content Creation; Mixed Initiative; MI-CC; Terran Generation;

   Sammanfattning : The consumers of today have become used to a constant flow of new content. Whether the content being music, film and series, games or other forms of media. This has created a strain on the developers and creators, to create new and original content for an ever demanding audience. Creating original content can be a costly and time consuming process. LÄS MER