Index Catalog // ScholarsArchive@OSU

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

Rhizome: Towards An Information Centric OS Shell

Creator:: Corbett, Kira
Abstract:: Rhizome is an information-centric model that uses different interaction methods than traditional desktop systems. I built Rhizome with the specific use case of sharing a photo to observe people using the Rhizome operating system (OS) shell and modern OS shells. The purpose of this is to measure the cognitive load...
Resource Type:: Honors College Thesis
Full Text:: _____________________________________________________________________ Patrick Donnelly, Committee Member, representing Computer Science

Assessment of potential bioremediation of heavy metals found in treated wood by ectomycorrhizal and wood-decay fungi in pure culture and the bioremoval of fruiting bodies

Creator:: Donnelly, Johanna
Abstract:: Treated wood commodities disposed of in landfills contain chemicals that can migrate into the environment. Wood treatments such as ammoniacal copper zinc arsenate (ACZA) contain heavy metals which prevent the biological degradation of wood. These metals can migrate out of treated wood into soil or groundwater, posing environmental hazards. This...
Resource Type:: Honors College Thesis
Full Text:: Assement of Fungal Bioremediation-Donnelly, Johanna Assessment of

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

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

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

Relative sea-level change in northeastern Florida (USA) during the last ∼8.0 ka

Creator:: Hawkes, Andrea D., Kemp, Andrew C., Donnelly, Jeffrey P., Horton, Benjamin P., Peltier, W. Richard, Cahill, Niamh, Hill, David F., Ashe, Erica, and Alexander, Clark R.
Abstract:: An existing database of relative sea-level (RSL) reconstructions from the U.S. Atlantic coast lacked valid sea-level index points from Georgia and Florida. This region lies on the edge of the collapsing forebulge of the former Laurentide Ice Sheet making it an important location for understanding glacio-isostatic adjustment and the history...
Resource Type:: Article

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

The effects of hormone replacement therapy on muscle strenght and morphology in early postmenopausal women

Creator:: Lewis, Danielle R.
Abstract:: Postmenopausat women on hormone replacement therapy (HRT) have been reported to be stronger when compared to women who are not using HRT. The first goal of this study was to investigate whether muscle morphology was altered in women who use HRT when compared to women who do not use HAT....
Resource Type:: Masters Thesis
Full Text:: hormone status, Type I fibers were significantly larger (p=.005) in GSA (Type I 3705 ± 877i.tm2; Type II

ScholarsArchive@OSU

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

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

Rhizome: Towards An Information Centric OS Shell

Assessment of potential bioremediation of heavy metals found in treated wood by ectomycorrhizal and wood-decay fungi in pure culture and the bioremoval of fruiting bodies

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

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

Predicting music emotion with social media discourse

Relative sea-level change in northeastern Florida (USA) during the last ∼8.0 ka

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

The effects of hormone replacement therapy on muscle strenght and morphology in early postmenopausal women

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