Physical Sciences and Mathematics Commons^™

Lyraquist: Language Learning Via Music App, Vivian D'Souza, Siri Avula, Mahi Patel, Tanvi Singh, Ashley Bickham

Senior Theses

Lyraquist is a new language learning mobile app that encourages the practice of a foreign language through music. Language learners can connect their Spotify Premium account to Lyraquist to listen to music in their target languages and utilize tools such as translation and vocabulary lists to facilitate language practice. Through integration with Spotify, users can import and create Spotify playlists and search the service’s entire catalog. By combining daily listening habits with several tasks associated with language learning in one place, Lyraquist hopes to be a useful language learning tool.

Taking Songs To Heart: An Investigation Into Musical Appreciation, Anna Kate Lockhart, Eric A. Febles, Valeria Draine, Kaitlin Pendasulo

Science University Research Symposium (SURS)

Abstract

Music cross-culturally occupies a central part of day-to-day living (Trehub et al., 2015). Research has demonstrated music’s consistent ability to modulate emotional states, through the investigation of properties like tempo and key (Res, 2011; Bella, 2001; Jongwan,, 2018; Schellenberg, 2010). Heartbeat is a steady rhythm that each human alive and well experiences daily, and heart rate, specifically the resting heart rate, has been suggested to set a baseline rhythm that may influence perception of musical valence (Koelsch & Jancke, 2015). The current study aims to investigate this hypothesis by establishing a resting heart rate level and modulating the speed …

Music On Canvas: A Quest To Generate Art That Evokes The Feeling Of Music, My Linh (Lucy) Tran

Mathematics, Statistics, and Computer Science Honors Projects

Although the idea of connecting music and art dates back to ancient Greece, recent advancements in computing have made automating this feasible. This project represents a quest to transform music into art, using three methodologies where each is an improvement towards generating images that convey our feelings and imaginations during music listening. The three methods respectively involve:

1. An element-wise mapping of sound and colors
2. Using song tags
3. Tuning an Artificial Intelligence (AI) model to generate pictorial text captions.

To create artistic images, methods two and three utilize an existing text-to-image generative AI.

Using Music And Storytelling As Strategies For Conservation Education, Frances Hincks

Honors College Theses

Given the frequently negative effects each person imposes on their environment (e.g., resource consumption, use of private and public land, and waste production), the public needs to be included in conservation messaging to sustain a healthy, functioning planet. People are generally not informed about conservation topics, which creates difficulties in creating a conservation mindset. Moreover, there is a disconnect between conservation research and presenting conservation related topics to the public in a coherent, accessible format. Thus, conservation education messaging strategies need to be evaluated to determine which are most effective. The objective of this research was to determine the effectiveness …

The Mathematics Of The Harp: Modeling The Classical Instrument And Designing Futuristic Ones, Cristina Carr, Daniel Chioffi, Maya Glenn, Stefan O. Nita, Vlad N. Nita, Bogdan G. Nita

Journal of Humanistic Mathematics

We analyze and model the neck of the classical harp based on the length of the strings, their tension and density. We then use the results to design new and innovative harp shapes by adjusting the parameters of the model.

An Interactive System For Generating Music From Moving Images, Hanlin Wang

Dartmouth College Master’s Theses

Moving images contain a wealth of information pertaining to motion. Motivated by the interconnectedness of music and movement, we present a framework for transforming the kinetic qualities of moving images into music. We developed an interactive software system that takes video as input and maps its motion attributes into the musical dimension based on perceptually grounded principles. The system combines existing sonification frameworks with theories and techniques of generative music. To evaluate the system, we conducted a two-part experiment. First, we asked participants to make judgements on video-audio correspondence from clips generated by the system. Second, we asked participants to …

Mathematical Structure Of Musical Tuning Systems, Shay Joel Francis Spitzer

Senior Projects Spring 2023

Over the course of history, western music has created a unique mathematical problem for itself. From acoustics, we know that two notes sound good together when they are related by simple ratios consisting of low primes. The problem arises when we try to build a finite set of pitches, like the 12 notes on a piano, that are all related by such ratios. We approach the problem by laying out definitions and axioms that seek to identify and generalize desirable properties. We can then apply these ideas to a broadened algebraic framework. Rings in which low prime integers can be …

Exploration Of Digital Synthesis, Angelo Indre

Williams Honors College, Honors Research Projects

“An Exploration of Digital Synthesis” is a comprehensive investigation into the world of digital audio and music production. The paper explores the fundamental concepts of sound synthesis, including MIDI, virtual instruments (VSTs), and the JUCE framework. The central focus of the paper is the implementation of a custom synthesizer, which serves as a case study for the practical application of digital synthesis. The paper addresses the key question of how to create a functioning synthesizer from scratch, providing detailed insights into the programming and design process. Overall, the paper represents a significant contribution to the fields of digital audio and …

The Planets, Reimagined: Translating Science Into Music, Kaitlyn Wincup

Honors Projects

Inspired by Gustav Holst’s The Planets, this project analyzed the qualitative properties of the planets in our Solar System and translated them into a composition, created by Connor Gibbs, to represent an overall aural depiction of each planet. Where Holst created an astrological depiction of each of the planets, this piece is an astronomical depiction that broadens the perspectives of its listeners.

Wordmuse, John M. Nelson

Computer Science and Software Engineering

Wordmuse is an application that allows users to enter a song and a list of keywords to create a new song. Built on Spotify's API, this project showcases the fusion of music composition and artificial intelligence. This paper also discusses the motivation, design, and creation of Wordmuse.

Domain Adversarial Training On Conditional Variational Auto-Encoder For Controllable Music Generation, Jingwei Zhao, Gus Xia, Ye Wang

Machine Learning Faculty Publications

The variational auto-encoder has become a leading framework for symbolic music generation, and a popular research direction is to study how to effectively control the generation process. A straightforward way is to control a model using different conditions during inference. However, in music practice, conditions are usually sequential (rather than simple categorical labels), involving rich information that overlaps with the learned representation. Consequently, the decoder gets confused about whether to “listen to” the latent representation or the condition, and sometimes just ignores the condition. To solve this problem, we leverage domain adversarial training to disentangle the representation from condition cues …

The Significance Of Sonic Branding To Strategically Stimulate Consumer Behavior: Content Analysis Of Four Interviews From Jeanna Isham’S “Sound In Marketing” Podcast, Ina Beilina

Student Theses and Dissertations

Purpose:
Sonic branding is not just about composing jingles like McDonald’s “I’m Lovin’ It.” Sonic branding is an industry that strategically designs a cohesive auditory component of a brand’s corporate identity. This paper examines the psychological impact of music and sound on consumer behavior reviewing studies from the past 40 years and investigates the significance of stimulating auditory perception by infusing sound in consumer experience in the modern 2020s.

Design/methodology/approach:
Qualitative content analysis of audio media was used to test two hypotheses. Four archival oral interview recordings from Jeanna Isham’s podcast “Sound in Marketing” featuring the sonic branding experts …

Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali

Computational and Data Sciences (PhD) Dissertations

Recently, there has been a tremendous increase in generating and synthesizing music and art using various computational techniques. An area that is still under-researched, however, is how one medium can be converted into the other, while maintaining the overall aesthetics. Over the last few centuries, artists, composers, and scholars, have attempted to use substitute one form of art for the other: by proposing techniques where music notes are synonymous to colors, by inventing instruments that combine the aesthetics of music and visual art, and by incorporating the two media in live performances. A widely accepted computational approach, for the conversion, …

Exploring Music Genres: A Study Of Optimal Differentiation By Feature, Rebecca Stetler

Honors Projects

This study explores the presence of optimal differentiation in music at the feature level by genre. Popularity prediction models are constructed and used to identify influential features in predicting popularity in each genre. These influential features are then assessed for optimal differentiation of the most popular songs from all songs in the genre.

Ar Fantasia: An Augmented Reality Musical Experience, Joe Geigel, Yunn-Shan Ma, Juilee Decker

Frameless

In 1940, Walt Disney Pictures released their third full length animated feature film, the classic film Fantasia. The concept and challenge behind Fantasia was simple: To merge music and visuals, using the media of animation, to provide an integrated backdrop for, and interpretation of, classical music. The complete film consisted of eight such animated sequences, each providing a visual landscape as a setting for a classical musical piece (Granata 2002).

Intersection Cographs And Aesthetics, Robert Haas

Journal of Humanistic Mathematics

Cographs are complete graphs with colored lines (edges); in an intersection cograph, the points (vertices) and lines (edges) are labeled by sets, and the line between each pair of points is (or represents) their intersection. This article first presents the elementary theory of intersection cographs: 15 are possible on 4 points; constraints on the triangles and quadrilaterals; some forbidden configurations; and how, under suitable constraints, to generate the points from the lines alone. The mathematical theory is then applied to aesthetics, using set cographs to describe the experience of a person enjoying a picture (Mu Qi), poem (Dickinson), play (Shakespeare), …

A New Way To Make Music: Processing Digital Audio In Virtual Reality, Gavin E. Payne

Senior Projects Spring 2022

The work of this project attempts to provide new methods of creating music with technology. The product, Fields, is a functional piece of virtual reality software, providing users an immersive and interactive set of tools used to build and design instruments in a modular manner. Each virtual tool is analogous to musical hardware such as guitar pedals, synthesizers, or samplers, and can be thought of as an effect or instrument on its own. Specific configurations of these virtual audio effects can then be played to produce music, and then even saved by the user to load up and play with …

The Temple Of Immensity: For Choir And Electronics, Steven Naylor

Honors Projects

the temple of immensity is a composition for 16-part choir and fixed media electronics composed by Steven Naylor using astronomical data concerning the stars nearest to Earth and their properties. “The temple of immensity” is an archaic and rarely used term, defined as “the universe or the complete overhead expanse of the heavens, especially as conceived as an object of religious reverence.” This piece seeks to convey feelings of wonder and awe for outer space through the setting of an original self-composed poem and through the use of star data to determine musical aspects. The resulting 28-minute composition blends voices …

Emotion Integrated Music Recommendation System Using Generative Adversarial Networks, Mrinmoy Bhaumik, Patrica U. Attah, Faizan Javed

SMU Data Science Review

Music can stimulate emotions within us; hence is often called the “language of emotion.” This study explores emotion as an additional feature in generating a playlist with a deep learning model to improve the current music recommendation system. This study will sample emotions from certain subjects for each song in a sample of the data. Since the effect of music on emotion is subjective and is different person to person, this study would need a considerable number of subjects to reduce subjectivity. Due to the limited resources, a portion of the data will be labeled with emotion from subjects and …

Analysis Of Music Genre Clustering Algorithms, Samuel Walter Stern

Theses and Dissertations

Classification and clustering of music genres has become an increasingly prevalent focusin recent years, prompting a push for research into relevant algorithms. The most successful algorithms have typically applied the Naive Bayes or k-Nearest Neighbors algorithms, or used Neural Networks to perform classification. This thesis seeks to investigate the use of unsupervised clustering algorithms such as K-Means or Hierarchical clustering, and establish their usefulness in comparison to or conjunction with established methods.

Fourth Voices Conference On Teaching Stem With Song, Lawrence M. Lesser

Journal of Humanistic Mathematics

The fourth VOICES (Virtual Ongoing Interdisciplinary Collaborations on Educating with Song) conference will be held September 26, 2021, with its Sunday date especially targeting those whose teaching schedule precludes attendance on a weekday. This online-only conference explores the use of song to teach STEM content at the college or secondary school level and will include reviewed interactive sessions, video-posters, and discussions of interest to both practitioners and researchers.

Markov Model Composition Of Balinese Reyong Norot Improvisations, Taylor Flanagan, Robert Rovetti

Honors Thesis

Markov models are mathematical structures that model the transition between possible states based on the probability of moving from one state to any other. Thus, given a distribution of starting points, the model produces a chain of states that are visited in sequence. Such models have been used extensively to generate music based on probabilities, as sequences of states can represent sequences of notes and rhythms. While music generation is a common application of Markov models, most existing work attempts to reconstruct the musical style of classical Western composers. In this thesis, we produce a series of Markov chains that …

Advanced Technologies In Music Production And Collaboration, David Besonen

Honors Theses

My Honors Senior Creative Project was to compose and produce a short album of original music alongside talented musicians here at the University of Nebraska-Lincoln (UNL) as well as around the world.

Impromptune: Symbolic Music Generation With Relative Attention Mechanisms, Connor J. Lennox

Honors Theses and Capstones

By combining attention-based mechanisms that have proved beneficial in the field of natural language processing with domain-specific knowledge about the structure of music, better predictions about piece continuations can be made. The goal of this work is to adapt current natural language processing techniques to a musical domain, and to generate new music by predicting continuations on a sequence of notes. An adaptation of traditional attention mechanisms to create a single prediction from sequential input is used to extend musical pieces by appending new elements repeatedly.

Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani

Browse all Theses and Dissertations

People in today's world seek things that are simple to use. Learning is one of the most crucial aspects of the ongoing digital transformation. Everything is now accessible with a single click on mobile devices, making access to instructional materials faster, easier, and more comfortable. It takes time and effort to build abilities and become an expert in the fields of learning, training, and teaching; and music learning demands a great deal of both practice and mentoring. Initially, music teachers and band directors must maintain a steady attention and devote a significant amount of time to manually teaching materials. This …

Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani

Browse all Theses and Dissertations

People in today's world seek things that are simple to use. Learning is one of the most crucial aspects of the ongoing digital transformation. Everything is now accessible with a single click on mobile devices, making access to instructional materials faster, easier, and more comfortable. It takes time and effort to build abilities and become an expert in the fields of learning, training, and teaching; and music learning demands a great deal of both practice and mentoring. Initially, music teachers and band directors must maintain a steady attention and devote a significant amount of time to manually teaching materials. This …

The Spiral Model For Generative Harmony, Jackson Guy Spargur

Senior Projects Spring 2020

Generative music is a broad and well-explored field, in which researchers have attempted various approaches at creating algorithmic models for the creation of music. Researchers may attempt to model the composition of melody, or of musical phrase structure, or, as is the focus of this paper, the harmonization of multiple voices. I use as the core of my model Elaine Chew’s “Spiral Array”, outlined in her 2000 thesis “Towards a Mathematical Model Of Tonality”. Chew’s applications for this model were all analytical, gaining insights about human-composed pieces of music by running them through her model. My project is comprised of …

A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos

Senior Projects Fall 2020

Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …

The Impact Of Live Coding Within An Educational And Performance Setting, Alexus Renee Foster

Senior Projects Spring 2020

For the past three semesters at Bard, live coding has become my newest form of creative expression and performance. This method of coding involves either creating on the spot from scratch or editing pre-existing code in a real time manner. There is no real set structure or steps that must be followed, however, one rule must always be followed: show your code. In the classroom, live coding occurs when the professor demonstrates some algorithm by displaying the program on a projector for the entire class to observe. During musical performances, the same improvisational nature of live coding is also present, …

Score Following With Hidden Tempo Using A Switching State-Space Model, Yucong Jiang, Chris Raphael

Department of Math & Statistics Faculty Publications

A score-following program traces the notes in a musical score during a performance. This capability is essential to many meaningful applications that synchronize audio with a score in an on-line fashion. Existing algorithms often stumble on certain difficult cases, one of which is piano music. This paper presents a new method to tackle such cases. The method treats tempo as a variable rather than a constant (with constraints), allowing the program to adapt to live performance variations. This is first expressed by a Kalman filter model at the note level, and then by an almost equivalent switching state-space model at …