Essays about: "machine learning music"

Showing result 1 - 5 of 27 essays containing the words machine learning music.

  1. 1. Language Classification of Music Using Metadata

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Linus Roxbergh; [2019]
    Keywords : Music; Metadata; Language; Classification; Machine Learning; Spotify; Multiclass; Feature Importance;

    Abstract : The purpose of this study was to investigate how metadata from Spotify could be used to identify the language of songs in a dataset containing nine languages. Features based on song name, album name, genre, regional popularity and vectors describing songs, playlists and users were analysed individually and in combination with each other in different classifiers. READ MORE

  2. 2. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Yasser Alsouda; [2019]
    Keywords : urban noise; sound pressure level SPL ; internet of things IoT ; machine learning; support vector machine SVM ; k-nearest neighbors KNN ; bootstrap aggregating Bagging ; random forest; mel-frequency cepstral coeffi-cients MFCC ;

    Abstract : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. READ MORE

  3. 3. Generation of synthetic plant images using deep learning architecture

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Ramya Sree Kola; [2019]
    Keywords : generative adversarial network; machine learning; style transfer; style GAN; deep learning; FID; Inception score; google vm; leafsnap dataset;

    Abstract : Background: Generative Adversarial Networks (Goodfellow et al., 2014) (GANs)are the current state of the art machine learning data generating systems. Designed with two neural networks in the initial architecture proposal, generator and discriminator. READ MORE

  4. 4. Identification model of musical works using record linkage

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Pierre Cournut; [2019]
    Keywords : ;

    Abstract : This thesis is based on a project that is part of IBM’s collaboration with a Collecting Right Organization that collects and distributes payments of authors’ rights. The project aimed at helping this organization identify right beneficiaries for musical tracks listened on online streaming platforms. READ MORE

  5. 5. The Effect of Audio Snippet Locations and Durations on Genre Classification Accuracy Using SVM

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nicklas Hersén; Axel Kennedal; [2018]
    Keywords : ;

    Abstract : Real world scenarios where machine learning based music genre classification could be applied includes; streaming services, music distribution platforms and automatic tagging of music libraries. Music genre classification is inherently a subjective task; there are no exact boundaries that separate different genres. READ MORE