Essays about: "machine learning music"

Showing result 16 - 20 of 63 essays containing the words machine learning music.

1. 16. The Emergence of the Type-Generated AI Art Community : A Netnographic and Content Analysis Approach

   University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

   Author : Alexandra-Petronela Buraga; [2022]
   Keywords : AI art; AI creativity; communities of practice; human-AI interaction;

   Abstract : Computational art is a creative field that refers to a futuristic idea of artificial intelligence. Contrary to the common belief that a machine cannot create art, technological advancements made the rise of a new form of art possible. READ MORE

3. 17. 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

4. 18. Unboxing The Algorithm : Understandability And Algorithmic Experience In Intelligent Music Recommendation Systems

   University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

   Author : Anna Marie Schröder; [2021]
   Keywords : algorithmic experience; music recommendation systems; transparency; interaction design; machine learning; music streaming;

   Abstract : After decades of black-boxing the existence of algorithms in technologies of daily need, users lack confidence in handling them. This thesis study investigates the use situation of intelligent music recommendation systems and explores how understandability as a principle drawn from sociology, design, and computing can enhance the algorithmic experience. READ MORE

5. 19. Multi-objective optimization for model selection in music classification

   University essay from KTH/Optimeringslära och systemteori

   Author : Rintaro Ujihara; [2021]
   Keywords : Music emotion recognition; Mel spectrogram; MFCC; CENS; Onset; Tonnetz; HPSS; 1D convolutional neural network; Attention LSTM; 1DCNN BiLSTM; Pareto optimality;

   Abstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE

6. 20. Hotspot Detection for Automatic Podcast Trailer Generation

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Winstead Xingran Zhu; [2021]
   Keywords : automatic podcast trailer generation; hotspot detection; speech emotion recognition; text emotion recognition; text arousal detection; pull-quote selection; music detection; laughter detection; affect analysis; affective computing; machine learning; neural network;

   Abstract : With podcasts being a fast growing audio-only form of media, an effective way of promoting different podcast shows becomes more and more vital to all the stakeholders concerned, including the podcast creators, the podcast streaming platforms, and the podcast listeners. This thesis investigates the relatively little studied topic of automatic podcast trailer generation, with the purpose of en- hancing the overall visibility and publicity of different podcast contents and gen- erating more user engagement in podcast listening. READ MORE