Essays about: "Music classification"

Showing result 16 - 20 of 42 essays containing the words Music classification.

  1. 16. Study of antenna arrays for direction finding

    University essay from Umeå universitet/Institutionen för fysik

    Author : William Eriksson Selin; [2021]
    Keywords : aoa; aod; bluetooth 5.1; antenna; array; direction; finding; estimation; MUSIC; subspace; aoa; aod; bluetooth; antenn; antennmatris; riktningsestimation; riktningsidentifiering; MUSIC;

    Abstract : The new Bluetooth standard (Bluetooth 5.1) contains direction finding specifications. Specifications for received signal strength indicator(RSSI) using measures of signal strength in order to give a sense of how far away an object is has been present in earlier versions. READ MORE

  3. 17. Noisy recognition of perceptual mid-level features in music

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

    Author : Simon Mossmyr; [2021]
    Keywords : ;

    Abstract : Self-training with noisy student is a consistency-based semi-supervised self- training method that achieved state-of-the-art accuracy on ImageNet image classification upon its release. It makes use of data noise and model noise when fitting a model to both labelled data and a large amount of artificially labelled data. READ MORE

  4. 18. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

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

    Author : Paula Diaz Banet; [2021]
    Keywords : Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

    Abstract : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. READ MORE

  5. 19. Structural and Functional Analysis of Lexical Bundles in Music Research Articles : A Corpus-Based Approach

    University essay from Högskolan Dalarna/Institutionen för språk, litteratur och lärande

    Author : Elena Novella Savelyeva; [2021]
    Keywords : formulaic language; lexical bundles; research articles; music; musicology; Corpus linguistics;

    Abstract : Applied linguistics has lately been seen in studies of formulaicity of language operating through recurrent word combinations. The present study deals with one type of word combinations, namely lexical bundles (LBs), which are defined as a sequence of three or more words that frequently co-occur in a particular register (Biber et al., 1999). READ MORE

  6. 20. 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)

    Author : Filip Söderqvist; [2021]
    Keywords : Electroencephalography; Deep learning; Machine learning; Likeability; Valence; Arousal; Emotion detection; Elektroencefalografi; Djupinlärning; Maskininlärning; Omtyckthet; Valens; Aktiveringsgrad; Känslodetektion;

    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