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Music has consistently been documented as a manner to bring people together across cultures throughout the world. In this research, we propose that people use similar musical taste as a strong sign of potential social connection. To investigate this notion, we draw on literature examining how music merges the public/private

Music has consistently been documented as a manner to bring people together across cultures throughout the world. In this research, we propose that people use similar musical taste as a strong sign of potential social connection. To investigate this notion, we draw on literature examining how music merges the public/private self, the link to personality, and group identity, as well as how it is linked to romantic relationships. Thus, music can be a tool when wanting to get to know someone else and/or forge a platonic relationship. To test this hypothesis, we designed an experiment comparing music relative to another commonality (sharing a sports team in common) to see which factor is stronger in triggering an online social connection. We argue that people believe they have more in common with someone who shares similar music taste compared to other commonalities. We discuss implications for marketers on music streaming platforms.

ContributorsDrambarean, Julianna Rose (Co-author) / Simmons, Logan (Co-author) / Samper, Adriana (Thesis director) / Martin, Nathan (Committee member) / Department of Marketing (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income

Music streaming services have affected the music industry from both a financial and legal standpoint. Their current business model affects stakeholders such as artists, users, and investors. These services have been scrutinized recently for their imperfect royalty distribution model. Covid-19 has made these discussions even more relevant as touring income has come to a halt for musicians and the live entertainment industry. <br/>Under the current per-stream model, it is becoming exceedingly hard for artists to make a living off of streams. This forces artists to tour heavily as well as cut corners to create what is essentially “disposable art”. Rapidly releasing multiple projects a year has become the norm for many modern artists. This paper will examine the licensing framework, royalty payout issues, and propose a solution.

ContributorsKoudssi, Zakaria Corley (Author) / Sadusky, Brian (Thesis director) / Koretz, Lora (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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DescriptionOur thesis dives deeper into the rise of machine learning and how digital advertising can find target audiences to share independent artists music in a more efficient way. Our goal is to show how effective these tactics are for independent artists looking to start their career in the music industry.
ContributorsPatrick, Angela Rose (Co-author) / Fees, Max (Co-author) / Kinerk, Cole (Co-author) / Hass, Mark (Thesis director) / Patrick, Brad (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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Advances in computational processing have made big data analysis in fields like music information retrieval (MIR) possible. Through MIR techniques researchers have been able to study information on a song, its musical parameters, the metadata generated by the song's listeners, and contextual data regarding the artists and listeners (Schedl, 2014).

Advances in computational processing have made big data analysis in fields like music information retrieval (MIR) possible. Through MIR techniques researchers have been able to study information on a song, its musical parameters, the metadata generated by the song's listeners, and contextual data regarding the artists and listeners (Schedl, 2014). MIR research techniques have been applied within the field of music and emotions research to help analyze the correlative properties between the music information and the emotional output. By pairing methods within music and emotions research with the analysis of the musical features extracted through MIR, researchers have developed predictive models for emotions within a musical piece. This research has increased our understanding of the correlative properties of certain musical features like pitch, timbre, rhythm, dynamics, mel frequency cepstral coefficients (MFCC's), and others, to the emotions evoked by music (Lartillot 2008; Schedl 2014) This understanding of the correlative properties has enabled researchers to generate predictive models of emotion within music based on listeners' emotional response to it. However, robust models that account for a user's individualized emotional experience and the semantic nuances of emotional categorization have eluded the research community (London, 2001). To address these two main issues, more advanced analytical methods have been employed. In this article we will look at two of these more advanced analytical methods, machine learning algorithms and deep learning techniques, and discuss the effect that they have had on music and emotions research (Murthy, 2018). Current trends within MIR research, the application of support vector machines and neural networks, will also be assessed to explain how these methods help to address the two main issues within music and emotion research. Finally, future research within the field of machine and deep learning will be postulated to show how individuate models may be developed from a user or a pool of user's listening libraries. Also how developments of semi-supervised classification models that assess categorization by cluster instead of by nominal data, may be helpful in addressing the nuances of emotional categorization.
ContributorsMcgeehon, Timothy Makoto (Author) / Middleton, James (Thesis director) / Knowles, Kristina (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
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In this world of fading trends, a fear of missing out, and the next best thing, people crave lasting connection and authenticity. Music festivals are multi day musical and social events that have to power to bring people together for a ritualistic experience providing a meaningful awakening for each individual

In this world of fading trends, a fear of missing out, and the next best thing, people crave lasting connection and authenticity. Music festivals are multi day musical and social events that have to power to bring people together for a ritualistic experience providing a meaningful awakening for each individual attendee. Peoples identity can be validated in the affirmative social negotiation and a safe environment - just so at a music festival. The ritual that exists at festivals through the actions attendees make all combine into an incomparable experience aiding them in their own personal growth and their connection to others and their surroundings. With the support of survey data on music festivals, the best changes to festival production would be the implementation of more purposeful activities to contribute to the ritual and meaning for attendees, as well as marketing content which showcases the elements of community, art and music, rather than the regular sales pitch. This shift of marketing content would set a positive tone for the given music festival, which is crucial in ensuring attendees arrive with good intentions and have that transformative experience to expand themselves and feel connected.
ContributorsPatterson-Gonzales, Ariel Christine (Author) / Gray, Nancy (Thesis director) / Nowak, Timothy (Committee member) / Dean, W.P. Carey School of Business (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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This essay examines national leaders’ shaping of K-pop into a foreign export, specifically looking into how K-pop is used as a soft power for South Korea. I also examine how effective K-pop is as a soft power. Because of its growing global popularity and use of K-pop artists for international

This essay examines national leaders’ shaping of K-pop into a foreign export, specifically looking into how K-pop is used as a soft power for South Korea. I also examine how effective K-pop is as a soft power. Because of its growing global popularity and use of K-pop artists for international relations, such as Red Velvet performing for Kim Jong Un, we might expect K-pop to act as the gateway into South Korean culture, often being the first exposure that other countries have into this country’s way of life. Through a qualitative analysis of resources ranging from news articles, videos, and social media posts, we see that K-pop idols, a term for K-pop celebrities, are heavily groomed and shaped by their labels to promote the South Korean national brand. Combined with a well-made business model to appeal to different countries, they also create sentiment for South Korean culture throughout the world with the support of the government and a strong fanbase. This plan is extremely effective in generating revenue for a multitude of South Korean brands beyond K-pop and even fosters South Korean affection in North Korea.
ContributorsMendez, Audrey F (Author) / Ingram-Waters, Mary (Thesis director) / Sandoval, Mathew (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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In everyday life, unfocused attention can be detrimental to life either through driving vehicles, cutting vegetables, and learning new languages. In order to increase sustained attention, Binaural Beats were introduced. Binaural Beats have two different frequency tones which oscillate to produce different effects. Each of these beats operates at different

In everyday life, unfocused attention can be detrimental to life either through driving vehicles, cutting vegetables, and learning new languages. In order to increase sustained attention, Binaural Beats were introduced. Binaural Beats have two different frequency tones which oscillate to produce different effects. Each of these beats operates at different frequencies thus having different sound production: theta, delta, alpha, beta, and gamma. In the experiment beta Binaural Beats with frequencies of 200 and 216 Hertz, Hz (unit of measurement for frequency), were used with a control of 200 Hz flat noise. The experiment utilized the psychomotor vigilance task to measure changes in response times and utilized Affectiva to measure changes in facial musculature. The response times were then analyzed to explain why the Binaural Beats condition had significantly shorter response times compared to the control group throughout the task. In terms of emotional change, some trends were noticed for the Binaural Beats and the control condition; however, none of the trends were significant. Moving forward with the experiment, an increased number of participants can be recorded to strengthen the validity and test different frequencies of Binaural Beats for accuracy.
ContributorsObulasetty, Mohitha (Author) / Brewer, Gene (Thesis director) / Wingert, Kimberly (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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My creative project involved the creation of a short, abstract animation set to EDM music. It's meant to mimic the graphics displayed in the background of EDM concerts and was inspired by Beeple and the graphics he designed for EDM artist, Zedd. Under the guidance of my director, Meredith Drum,

My creative project involved the creation of a short, abstract animation set to EDM music. It's meant to mimic the graphics displayed in the background of EDM concerts and was inspired by Beeple and the graphics he designed for EDM artist, Zedd. Under the guidance of my director, Meredith Drum, and with help from my second committee member, Muriel Magenta, I was able to use Audacity to edit the music, Autodesk Maya 2016 to model and animate the animation, the HIDA render farm to render the frames using Maya Software and mentalray, Adobe After Effects CC to assemble and edit the animation, and Adobe Media Encoder to export the end product. The final animation included 20,855 individual frames, totaling to 14 minutes and 28 seconds in length. The project takes the viewer through seven worlds to express the idea of feeling isolated in your home, exploring the world, and then returning home with a new perspective. Each world evokes a different emotion through the interaction of its visual and audio design to allow the viewer to experience the intended storyline without explicit characters or plot detail. Due to the importance of maintaining plot flow, I utilized beautiful, yet difficult, design elements including glass textures, ocean shaders, and paint effects to create drastically different world designs specific to each song. These songs were chosen from a variety of EDM artists and edited to flow together seamlessly through each world and evoke a different emotion. Throughout the thesis process, I gained more skills in animation and editing and greatly improved my ability to use each application. While there is plenty of room to grow, I have improved exponentially as an artist from when I began this project to the moment I completed it.
ContributorsMallik, Ajanta Angie (Author) / Drum, Meredith (Thesis director) / Magenta, Muriel (Committee member) / The Design School (Contributor) / Department of Psychology (Contributor) / School of Social Transformation (Contributor) / School of Art (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Musical interpretation is challenging when one's goal is to evoke an emotional response from an audience. In order to develop a well-informed interpretation of Mozart's Fantasia in D minor K. 397, a study was conducted on the historical background of the piece and various performances by well-regarded performers. Fantasias are

Musical interpretation is challenging when one's goal is to evoke an emotional response from an audience. In order to develop a well-informed interpretation of Mozart's Fantasia in D minor K. 397, a study was conducted on the historical background of the piece and various performances by well-regarded performers. Fantasias are written works, but improvisatory by nature. Mozart's fantasias were influenced by C. P. E. Bach's, which included sudden changes in emotion. An Emil Gilels performance provided a classically trained approach, while Mitsuko Uchida's performance provided an emotional approach. Colin Tilney and John Irving performances elucidated the sound of the instruments that Mozart would have been composing with. Altogether, the research culminated in an interpretation of the D minor Fantasia that endeavored to capture the essence of fantasy, improvisation and emotion.
ContributorsMo, Gina Nan (Author) / Emmery, Laura (Thesis director) / Creviston, Hannah (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The result of hundreds of hours of work is a few minutes of music. I am mechanical engineering student with a passion for music. The objective of this creative project was to learn as much as I could about music theory, composition, orchestration, notation, recording, and mixing, and to create

The result of hundreds of hours of work is a few minutes of music. I am mechanical engineering student with a passion for music. The objective of this creative project was to learn as much as I could about music theory, composition, orchestration, notation, recording, and mixing, and to create some music of my own. I learned a great deal in my two semesters of work. My music was focused on small ensembles of strings and piano. I created over ten hours of musical audio sketches and produced notation for four pieces for the piano and strings. The finished scores fit together with similar tones and textures, all sharing a minor tonality. The first piece, "Little Machine," is a simple, methodical piano piece created in the style of second species counterpoint. The second piece, "Searching" is a duet between a piano and a cello. For most of the piece, the two instruments share a rhythmic sense of mutual independence, yet neither part can exist without the either. "Something Lost" is a piano solo written with a variety of sections and a unifying idea that pervades through the piece. Finally, "3 Strings & Piano" is a melancholy adagio written for the piano, two cellos, and a double bass. Overall, this project has helped to prepare me for a lifetime of continued learning and composition. In the future I will continue to write music, and I hope to specifically learn more about the tools and techniques used by professionals in the industry so that I can find more efficient ways to produce my own music.
ContributorsSchichtel, Jacob (Author) / Stauffer, Sandra (Thesis director) / Tobias, Evan (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12