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Filtering by: Creator Breen, Patrick J. Remove constraint Creator: Breen, Patrick J. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Predicting music emotion with social media discourse

    Creator:
    Beery, Aidan J.
    Abstract:
    Predicting the average affect of a piece of music is a task which has been of recent interest in the field of music information retrieval. We investigate the use of sentiment analysis on online social media conversations to predict a song’s valence and arousal. Using four music emotion datasets -...
    Resource Type:
    Honors College Thesis
    Full Text:
    : Patrick Donnelly Predicting the average affect of a piece of music is a task which has been of recent

  • Transcribing Solo Piano Performances from Audio to MIDI Using a Neural Network

    Creator:
    Ebert, Victoria
    Abstract:
    Automatic Music Transcription is a growing area of interest in Music Information Retrieval, and recent research has shown promise using onset detection on spectrograms. We propose a deep learning model that takes raw audio as input in order to transcribe a solo piano performance from audio to MIDI without complicated...
    Resource Type:
    Honors College Thesis
    Full Text:
    :_____________________________________________________ Patrick Donnelly Automatic Music Transcription is a growing area of interest in Music

  • Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

    Creator:
    Gaur, Shaurya
    Abstract:
    Users curate music playlists based on emotion to focus or relax, so streaming services often create playlists of songs to aid this process. Prior research focuses on generating playlists of a single mood or genre, although a few studies work to construct automatic playlists that transition between the genres of...
    Resource Type:
    Honors College Thesis
    Full Text:
    of Emotions Using a KNN Algorithm Abstract approved: Patrick Donnelly Users curate music playlists

  • Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

    Creator:
    Mathew, Anju
    Abstract:
    Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
    Resource Type:
    Honors College Thesis
    Full Text:
    Bird Song Analysis with Machine Learning based Event Detection Abstract approved: Patrick Donnelly

  • Synthetic instrument generation : generating novel instrument timbres with a genetic algorithm

    Creator:
    Knowlton, John
    Abstract:
    The use of genetic algorithms to compose music and generate sounds is an area of interest in the artificial intelligence field. Music and instrument sounds have known rules and structures that can be followed which make them well-suited for genetic algorithms. However, genetic algorithms still struggle to generate sounds comparable...
    Resource Type:
    Honors College Thesis
    Full Text:
    : Generating novel instrument timbres with a genetic algorithm Abstract approved: Patrick Donnelly The use

  • Automatic Classification of Ultrasonic Harbor Porpoise Clicks in a Varying Noise Environment

    Creator:
    De Leon, Daniel
    Abstract:
    This study compares three approaches in the design of an autonomous machine listening agent that predicts harbor porpoise ultrasonic echolocation clicks in diverse noise environments. Considering the temporal variations of noisy coastal ocean soundscapes which the harbor porpoises inhabit, we propose a leave-one-day-out (LODO) cross-validation strategy in the training of...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ Patrick J. Donnelly This

  • Fluid flow on interacting, deformable surfaces

    Creator:
    Neill, Patrick
    Abstract:
    Fluid simulation is an interesting research problem with a wide range of applications including mechanical engineering, special effects in movies and games, and scientific simulation. Due to the complex nature of typical fluid flow equations, there are circumstances where a full volumetric fluid simulation may not be necessary to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Patrick Neill for the degree of Master

  • MacSchedule : speedup estimation in parallel program task graphs

    Creator:
    Fortner, Patrick D.
    Abstract:
    Parallel computers have generated a great deal of excitement and interest in the computer industry as well as the computer user industries. Parallel computers offer the promise of enormous gains in computing speeds by allowing multiple processors to work on different pieces of the same problem at the same time....
    Resource Type:
    Capstone Project
    Full Text:
    Graphs by Patrick D. Fortner A research project submitted in partial fulfillment of the

  • On sequential/parallel matrix array languages

    Creator:
    Wang, Patrick Shen-Pei
    Abstract:
    A new system called sequential/parallel matrix grammars for two-dimensional pattern processing is introduced and studied. Miscellaneous language operations such as union, catenation (row and column), Kleene's closure (row and column) and substitutions are investigated. The equivalence of sequential/parallel matrix languages and finite-turn repetitive checking automata is established. Hierarchies for both...
    Resource Type:
    Dissertation
    Full Text:
    ABSTRACT OF THE THESIS OF Patrick Shen-Pei Wang for the degree of Doctor of Philosophy in Computer

  • End-user programming tool for creating custom health surveys with automatically generated reports

    Creator:
    Krishnamurthy, Pratik
    Abstract:
    Online survey data collection is becoming popular because it provides benefits in cost, ease of collecting and managing data, flexibility in format, and access to a diverse population. Surveys are often used for health studies such as Oregon State University’s WAVE Project, which utilizes the WavePipe system, a server enabling...
    Resource Type:
    Capstone Project
    Full Text:
    -Sun Wong and Dr. Patrick Chiang for their time and effort in providing knowledge and insights for