Essays about: "machine learning music"
Showing result 21 - 25 of 63 essays containing the words machine learning music.
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21. A European solution for Text and Data Mining in the development of creative Artificial Intelligence : With a specific focus on articles 3 and 4 of the Digital Signel Market Directive
University essay from Stockholms universitet/Juridiska institutionenAbstract : In today’s data-driven society, also called the Fourth Industrial Revolution, Text and Data Mining (TDM) has become an essential tool in managing the booming Big Data in its different sizes and forms. It is also an inherent part of AI research using machine learning, where these techniques highly depend on datasets derived from TDM to self-learn and to make autonomous decisions. READ MORE
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22. Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. READ MORE
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23. Hi-Fi audio and machine learning implementation in MIDI-controller prototype development
University essay from Uppsala universitet/Institutionen för elektroteknikAbstract : Musical Instrument Digital Interface(MIDI) is a technical standard that specifies acommunication protocol for digital instrument data and is mainly used by computers,synthesizers and electronic keyboards. A MIDI controller is any hardware or software that cangenerate and transfer MIDI data to a MIDI device, usually to play a sound or change controlparameters within a music software. READ MORE
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24. Music generation using tracker music and machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We investigate the modelling of polyphonic “tracker music” using deep neural networks. Tracker music is a music storage format invented in the late 1980s for use on that time’s home computers and is often used for storing synthesized electronic music. READ MORE
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25. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on minimally pre-processed multivariate EEG time series. READ MORE