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- Genre: Academic theses
- Creators: Norton, Kay
- Creators: Turaga, Pavan
Description
The inspiration to undertake this pilot study came after observation and reflection by the clinician-researcher, a board-certified music therapist who has used the harp as the primary instrument when facilitating sessions, on hundreds of music therapy sessions that took place at a facility for behavioral health and chemical dependency. It was observed that the use of improvised harp music as a therapeutic intervention within the context of a music therapy session seemed to relax patients who reported that they were nervous or anxious, and it was also noted that following a listening exercise that consisted of improvised harp music, patients appeared calmer and reported that they felt more comfortable. This research aims to determine if improvised harp music at the opening of a music therapy session creates a calmer environment in which to share information, compared with a guided verbal relaxation and ambient ocean drum sounds for the opening of the music therapy session. Social-behavioral research was conducted in the form of a fifty minute individual music therapy session with six subjects. Each therapy session used improvised music and verbal processing with the therapist, with three subjects in the experimental group and three in the control group. Each individual rated two different types of affective responses on scales of one to ten and completed a five-question survey at the end of the session. All the research subjects showed an increase in positive affect at the end of the music therapy session.
ContributorsRaunikar, Mary Frances (Author) / Rio, Robin (Thesis advisor) / Aspnes, Lynne (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2018
Description
This thesis presents robust and novel solutions using knowledge distillation with geometric approaches and multimodal data that can address the current challenges in deep learning, providing a comprehensive understanding of the learning process involved in knowledge distillation. Deep learning has attained significant success in various applications, such as health and wellness promotion, smart homes, and intelligent surveillance. In general, stacking more layers or increasing the number of trainable parameters causes deep networks to exhibit improved performance. However, this causes the model to become large, resulting in an additional need for computing and power resources for training, storage, and deployment. These are the core challenges in incorporating such models into small devices with limited power and computational resources. In this thesis, robust solutions aimed at addressing the aforementioned challenges are presented. These proposed methodologies and algorithmic contributions enhance the performance and efficiency of deep learning models. The thesis encompasses a comprehensive exploration of knowledge distillation, an approach that holds promise for creating compact models from high-capacity ones, while preserving their performance. This exploration covers diverse datasets, including both time series and image data, shedding light on the pivotal role of augmentation methods in knowledge distillation. The effects of these methods are rigorously examined through empirical experiments. Furthermore, the study within this thesis delves into the efficient utilization of features derived from two different teacher models, each trained on dissimilar data representations, including time-series and image data. Through these investigations, I present novel approaches to knowledge distillation, leveraging geometric techniques for the analysis of multimodal data. These solutions not only address real-world challenges but also offer valuable insights and recommendations for modeling in new applications.
ContributorsJeon, Eunsom (Author) / Turaga, Pavan (Thesis advisor) / Li, Baoxin (Committee member) / Lee, Hyunglae (Committee member) / Jayasuriya, Suren (Committee member) / Arizona State University (Publisher)
Created2023
Description
Generative models are deep neural network-based models trained to learn the underlying distribution of a dataset. Once trained, these models can be used to sample novel data points from this distribution. Their impressive capabilities have been manifested in various generative tasks, encompassing areas like image-to-image translation, style transfer, image editing, and more. One notable application of generative models is data augmentation, aimed at expanding and diversifying the training dataset to augment the performance of deep learning models for a downstream task. Generative models can be used to create new samples similar to the original data but with different variations and properties that are difficult to capture with traditional data augmentation techniques. However, the quality, diversity, and controllability of the shape and structure of the generated samples from these models are often directly proportional to the size and diversity of the training dataset. A more extensive and diverse training dataset allows the generative model to capture overall structures present in the data and generate more diverse and realistic-looking samples.
In this dissertation, I present innovative methods designed to enhance the robustness and controllability of generative models, drawing upon physics-based, probabilistic, and geometric techniques. These methods help improve the generalization and controllability of the generative model without necessarily relying on large training datasets. I enhance the robustness of generative models by integrating classical geometric moments for shape awareness and minimizing trainable parameters. Additionally, I employ non-parametric priors for the generative model's latent space through basic probability and optimization methods to improve the fidelity of interpolated images. I adopt a hybrid approach to address domain-specific challenges with limited data and controllability, combining physics-based rendering with generative models for more realistic results.
These approaches are particularly relevant in industrial settings, where the training datasets are small and class imbalance is common. Through extensive experiments on various datasets, I demonstrate the effectiveness of the proposed methods over conventional approaches.
ContributorsSingh, Rajhans (Author) / Turaga, Pavan (Thesis advisor) / Jayasuriya, Suren (Committee member) / Berisha, Visar (Committee member) / Fazli, Pooyan (Committee member) / Arizona State University (Publisher)
Created2023
Description
Lu Pei (b. 1956) is a celebrated Chinese American composer who currently serves as a composition professor at the Shanghai Conservatory of Music. His work is known for its varied use of Chinese folk tunes. He lived in the United States a long time, which cultivated within him abundant Western musical influences. The sound of multi-ethnic elements is greatly reflected in his own music. Writing an opera has always been his ultimate dream as a composer, and after many years of work, the opera The Third of March was completed and premiered in 2018 in Guangxi. It has received wide acclaim and has been a favorite of younger listeners. Lu Pei aims to bring young people to modern music and the Chinese opera, not only using traditional Chinese musical elements, but also adopts “reinvented” modern Western musical styles, giving a new identity to the Chinese opera is the main foci of The Third of March.
To prepare for my performer’s guide to The Third of March, I will discuss Lu Pei’s inspirations from the Guangxi Song Fairs, and the music and culture of the Zhuang people surrounding the date in the Chinese lunar calendar, March Third. For Westerners unfamiliar with Lu Pei’s music, I will briefly introduce the compositional blending of Western and Chinese musical styles with a section about Chinese composers active in the United States, Chen Yi (b. 1953), and Tan Dun (b. 1957). I will also include a brief outline of the history of Chinese opera development, and Lu Pei’s compositional concepts and the background of the opera The Third of March will be discussed.
My performer’s guide, the primary focus of this project, will begin by stressing Lu Pei’s adoption of different Chinese folk songs and Western compositional elements. These techniques clearly gave the piece a unique stylistic identity. I will give a brief overview of the Chinese language diction in International Phonetic Alphabet. Finally, the qualities of the main arias in the opera, and some of the Chinese operatic techniques for singers, and their special effects, will be explored.
To prepare for my performer’s guide to The Third of March, I will discuss Lu Pei’s inspirations from the Guangxi Song Fairs, and the music and culture of the Zhuang people surrounding the date in the Chinese lunar calendar, March Third. For Westerners unfamiliar with Lu Pei’s music, I will briefly introduce the compositional blending of Western and Chinese musical styles with a section about Chinese composers active in the United States, Chen Yi (b. 1953), and Tan Dun (b. 1957). I will also include a brief outline of the history of Chinese opera development, and Lu Pei’s compositional concepts and the background of the opera The Third of March will be discussed.
My performer’s guide, the primary focus of this project, will begin by stressing Lu Pei’s adoption of different Chinese folk songs and Western compositional elements. These techniques clearly gave the piece a unique stylistic identity. I will give a brief overview of the Chinese language diction in International Phonetic Alphabet. Finally, the qualities of the main arias in the opera, and some of the Chinese operatic techniques for singers, and their special effects, will be explored.
ContributorsBan, Banlingyu (Author) / FitzPatrick, Carole (Thesis advisor) / Norton, Kay (Committee member) / Ryan, Russell (Committee member) / Arizona State University (Publisher)
Created2020
Description
In the early 2000s, a new genre of music broke into the mainstream and begandominating popular music charts. The fans called it emo, and it became known as the latest iteration of the emo genre from the ’80s and ’90s. In this thesis, I explore the relationship between fans and emo music, clarifying the genre’s variety of definitions and interpretations while also identifying the types of discourse and the “productive” fandom practices in which fans participate in online emo community. I consider how early online fandom communities were formed and examine various online emo communities as digital archives containing emo discourse, emo fan fiction, and fan-written music reviews. Analyzing such archived materials from internet sites such as Pinterest, Tumblr, and LiveJournal is an important next step in emo fandom studies because these digital archives reveal significant areas of discourse within emo communities ranging from terminology and genre classification to modes of participatory fandom like fan fiction to conversations about mental health. I consider these topics from all sides, balancing fan testimonies with media narratives and scholarly commentary. By focusing on the mental health crisis in online emo fandom, the fan content that emo fandom inspires, and different approaches to defining the genre of emo, this thesis contributes to the study of a unique musical subculture that shaped the lives of a generation of teenagers. It will also illuminate the essential role that the internet plays in the formation of subcultures and teen identities by exploring the past and present existence of this online fandom.
ContributorsWilliams, Anna Katherine (Author) / Wells, Christi J (Thesis advisor) / Norton, Kay (Committee member) / Schmeltz, Peter J (Committee member) / Arizona State University (Publisher)
Created2022
Description
ABSTRACT
Emilie Mayer (1812-1883) was a prolific composer whose musical works, which encompassed eight symphonies, four overtures, an opera, dozens of sonatas, eight string quartets, solo piano works, and nearly 130 songs for solo voice or vocal quartet, were performed in the foremost concert halls in Berlin and across Germany. She studied with lauded teachers: Carl Loewe (1796-1869), Adolph Bernhard Marx (1795-1866), and Wilhelm Wieprecht (1802-1872). Her talent was applauded by audiences and critics wrote favorably, despite their reservations about women composers. However, even with this unusual pedigree, Mayer’s works nearly disappeared from concert stages after her death. How did this happen? This study aims to answer this question and will delve into Emilie Mayer’s life and works in context with the prejudices against female composers at the time, in order to determine how those biases have shaped the classical canon. Included is an in-depth stylistic analysis of Mayer’s surviving seven Lieder, along-side comparisons to similar works of other composers. In addition, appendices present Mayer’s remaining Lieder in a new, modernized edition, with selected songs transposed for better accessibility for lower voices. Relative lack of female representation in modern-day concert halls and music history books correlates to previous misconceptions of female composers. Studying the works of Emilie Mayer will support her addition to the classical repertoire, help correct the male-gendered canon that persists, and help modern female composers realize their history is not confined to a footnote.
Emilie Mayer (1812-1883) was a prolific composer whose musical works, which encompassed eight symphonies, four overtures, an opera, dozens of sonatas, eight string quartets, solo piano works, and nearly 130 songs for solo voice or vocal quartet, were performed in the foremost concert halls in Berlin and across Germany. She studied with lauded teachers: Carl Loewe (1796-1869), Adolph Bernhard Marx (1795-1866), and Wilhelm Wieprecht (1802-1872). Her talent was applauded by audiences and critics wrote favorably, despite their reservations about women composers. However, even with this unusual pedigree, Mayer’s works nearly disappeared from concert stages after her death. How did this happen? This study aims to answer this question and will delve into Emilie Mayer’s life and works in context with the prejudices against female composers at the time, in order to determine how those biases have shaped the classical canon. Included is an in-depth stylistic analysis of Mayer’s surviving seven Lieder, along-side comparisons to similar works of other composers. In addition, appendices present Mayer’s remaining Lieder in a new, modernized edition, with selected songs transposed for better accessibility for lower voices. Relative lack of female representation in modern-day concert halls and music history books correlates to previous misconceptions of female composers. Studying the works of Emilie Mayer will support her addition to the classical repertoire, help correct the male-gendered canon that persists, and help modern female composers realize their history is not confined to a footnote.
ContributorsSadownik, Stephanie Beth (Author) / Weiss, Stephanie (Thesis advisor) / Norton, Kay (Thesis advisor) / Ryan, Russell (Committee member) / Arizona State University (Publisher)
Created2020
Description
The call to crusade in 1145 prompted a movement fueled not only by religious writings and sermons, but by calls to arms in secular song. During the mid-twelfth to thirteenth centuries, French Trouvères and Occitan Troubadours wrote over one hundred crusade songs, the majority of which are rife with propaganda and support for the crusades and the attacks against the Saracens and the East. The crusade song corpus not only deals with sacred motivations to go overseas, such as the crusade indulgence present in papal bulls, but also summons biblical figures and epic persons as motivation to crusade.
Previous scholars have not adequately defined the genre of a crusade song, and have overlooked connections to the crusading rhetoric of the genre of crusade literature. I offer a precise definition of crusade song and examine commonalities between crusade literature and song. During the crusades, troubadours and trouvères wrote crusade songs to draw support for the campaigns. The propaganda in these songs demonstrates that the authors had an understanding of current events and may have had some knowledge of other crusading literature, such as papal calls to crusade, crusade sermons, the Old French Crusade Cycle, and various crusade chronicles. These documents show how the themes and allusions present in crusade song have broader connotations and connections to crusade culture in Medieval Europe.
Previous scholars have not adequately defined the genre of a crusade song, and have overlooked connections to the crusading rhetoric of the genre of crusade literature. I offer a precise definition of crusade song and examine commonalities between crusade literature and song. During the crusades, troubadours and trouvères wrote crusade songs to draw support for the campaigns. The propaganda in these songs demonstrates that the authors had an understanding of current events and may have had some knowledge of other crusading literature, such as papal calls to crusade, crusade sermons, the Old French Crusade Cycle, and various crusade chronicles. These documents show how the themes and allusions present in crusade song have broader connotations and connections to crusade culture in Medieval Europe.
ContributorsChoin, Victoria (Author) / Saucier, Catherine (Thesis advisor) / Cruse, Markus (Committee member) / Holbrook, Amy (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2019