Search for dissertations about: "Music Speed"

Found 5 swedish dissertations containing the words Music Speed.

  1. 1. Modeling Music Studies of Music Transcription, Music Perception and Music Production

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Anders Elowsson; KTH.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Music Information Retrieval; MIR; Music; Music Transcription; Music Perception; Music Production; Tempo Estimation; Beat Tracking; Polyphonic Pitch Tracking; Polyphonic Transcription; Music Speed; Music Dynamics; Long-time average spectrum; LTAS; Algorithmic Composition; Deep Layered Learning; Convolutional Neural Networks; Rhythm Tracking; Ensemble Learning; Perceptual Features; Representation Learning;

    Abstract : This dissertation presents ten studies focusing on three important subfields of music information retrieval (MIR): music transcription (Part A), music perception (Part B), and music production (Part C).In Part A, systems capable of transcribing rhythm and polyphonic pitch are described. READ MORE

  2. 2. Figures of time : on the phenomenology of cinema and temporality

    University dissertation from Stockholm : Norstedt

    Author : Malin Wahlberg; Stockholms universitet.; [2003]
    Keywords : HUMANIORA; HUMANITIES; film theory; phenomenology; aesthetic theory; temporality; duration; speed; photography; city film; documentary; experimental cinema; HUMANITIES and RELIGION Aesthetic subjects Film; HUMANIORA och RELIGIONSVETENSKAP Estetiska ämnen Filmvetenskap; Cinema Studies; filmvetenskap;

    Abstract : Image and time represent a favored issue among theorists and practitioners in the history of cinema, where discussion is related to the ingenious machine, the new art, as well as the experience of film. Looking back on this debate, and considering recent accounts of 'time-images,' it is striking to note how the problem has always oscillated between issues of the medium specific and issues of film experience; that is, the ontology of cinema as a time-bound medium, the quality of rhythm, duration, and recorded views, and, not least, the sensory and affective impact of mediated sound-images. READ MORE

  3. 3. Analyses of voice and glottographic signals in singing and speech

    University dissertation from Stockholm, Sweden : KTH Royal Institute of Technology

    Author : Andreas Selamtzis; KTH.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; voice ; singing ; electroglottography ; clustering ; dysphonia ; sample entropy ; ; Speech and Music Communication; Tal- och musikkommunikation;

    Abstract : Recent advances in machine learning and time series analysis techniques have brought new perspectives to a great number of scientific fields. This thesis contributes applications of such techniques to voice analysis, in an attempt to extract information on the vibration of the vocal folds as such, as well as on the radiated acoustic signal. READ MORE

  4. 4. Evaluation of Live Loudness Meters

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Jon Allan; Luleå tekniska universitet.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; HUMANIORA; HUMANITIES; loudness; loudness metering; live loudness meter; loudness meter; audio level alignment; R 128; hörstyrka; mätning av hörstyrka; loudnessmätare; hörstyrkemätare; nivåjustering; R 128; upplevd ljudnivå; Audio Technology; Ljudteknik;

    Abstract : Discrepancies in loudness (i.e. sensation of audio intensity) has been of great concern within the broadcast community. For television broadcast, disparities in audio levels have been rated the number one cause to annoyance by the audience. READ MORE

  5. 5. Scalable Machine Learning through Approximation and Distributed Computing

    University dissertation from KTH Royal Institute of Technology

    Author : Theodore Vasiloudis; KTH.; [2019]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Online Learning; Distributed Computing; Graph Similarity; Decision Trees; Gradient Boosting;

    Abstract : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. READ MORE