Essays about: "machine learning music"

Showing result 1 - 5 of 32 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. Music recommendations with deep learning

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Carl Rynegardh; [2019]
    Keywords : Reinforcement learning; deep learning; music information retrieval; Technology and Engineering;

    Abstract : In this thesis we apply deep reinforcement learning to the problem of recom- mending music. A content-based approach is taken, and features from music is extracted with a pretrained deep learning music-tagger. For training, user- interactions are simulated.. READ MORE

  3. 3. 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

  4. 4. Watermarking in Audio using Deep Learning

    University essay from Linköpings universitet/Datorseende

    Author : Lukas Tegendal; [2019]
    Keywords : Machine Learning; Deep Learning; Watermarking;

    Abstract : Watermarking is a technique used to used to mark the ownership in media such as audio or images by embedding a watermark, e.g. copyrights information, into the media. A good watermarking method should perform this embedding without affecting the quality of the media. READ MORE

  5. 5. 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