Matching Items (12)
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- All Subjects: Music
- Creators: Libman, Jeffrey
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Status: Published
Description
The goal of the creative project "Popular Music Songwriting" was to jump into songwriting with strategy and study on popular music, looking at why songs make the charts. The project had one focus on Max Martin's songwriting principles, but looked at anything that hit the charts. The conclusion of the project brings an understanding of several rules and patterns in songwriting that hit makers typically obey. A common purpose for pop songs is to keep its listeners engaged but not overwhelmed. The goal is to do something different, but keep things familiar and to make people want to listen to it again. Songwriting has become very business-minded in that many informal rules to songwriting have become established because they are supported by psychology, showing that we have developed certain expectations in songs. For example, when a song gets very complex, we oftentimes tune out and do not want to hear it. This problem makes a song unfriendly to the radio. Also, repetition is often exercised. Many pop listeners have favorite parts of songs; therefore, when a songwriter has created a hook that listeners will want to look forward to through the song's duration, then that hook should be recycled strategically to keep the listener engaged. Four songs are submitted at the project's completion. The songs' names are "Soon to be an Emergency," "They Will Look at Us," "Black and White," and "Psychedelic Nights." The songs well represent a timeline of the project. As new songwriting rules were learned in the process of this project, they were employed accordingly, making each new song a fair representation of the learning up to that point.
ContributorsDudzinski, Bryce Daniel (Author) / Libman, Jeffrey (Thesis director) / Wells, Christopher (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Witching Hours is the debut studio album of Chicago-born, Phoenix-residing trumpet player John Michael Sherman. It is a consummation of his work in the Arizona State University jazz studies program both as a performer and composer. Featured on the album are several other musicians who John Michael played alongside throughout his tenure at ASU, including Chaz Martineau on tenor saxophone, Evan Rees on piano, Reid Riddiough on guitar, Vince Thiefain on bass, Matt McClintock on drums, and Dan Meadows on baritone saxophone. The album features seven pieces, all original compositions or arrangements. The first track, "Workin' My Nerves", is a blues shuffle in the key of F. This is followed by "Scarborough Fair", an arrangement of the classic English folk tune in a rock style. The title track, "Witching Hours", is an cadaverous linear composition in 7/4 which is followed by "Goliath", a pseudo-tone poem about the biblical giant. "I Should Have Known" is a pensive ballad featuring an a capella intro and cadenza, followed by the most recent composition, a minor blues-esque piece entitled "Who Said That?" The final track, "Don't Change A Thing", is an upbeat samba which was written in John Michael's first year of college. These pieces demonstrate an understanding of the jazz tradition and exhibit influences from such musicians as Clifford Brown, Freddie Hubbard, Wayne Shorter, and Snarky Puppy. The album was recorded at Tempest Recording in Tempe and produced by Clarke Rigsby. Clarke is a veteran recording engineer and is the first choice of many of Phoenix's finest jazz musicians, including thesis director and head of the ASU jazz department Michael Kocour. The pieces were composed and recorded under the guidance of Mike Kocour and Jeff Libman. Witching Hours represents a culmination of John Michael's course in the Arizona State University jazz department and his endeavors as a trumpet player and composer.
ContributorsSherman, John Michael (Author) / Kocour, Michael (Thesis director) / Libman, Jeffrey (Committee member) / School of Music (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
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
Description
For my honors thesis, I chose a creative project that would incorporate expertise and skills from both of my undergraduate degrees at Arizona State University: Music Performance and Music Theory and Composition. The main goal for this project was to design and experience an artistic process of musical production and create a professional musical work to release on digital platforms. The musical process included five main components: Listening, Transcribing, Composing, Recording, and Post Production. The final product is a full album, titled This is Jam Music, that consists of eight pieces and a run time of 33 minutes.
ContributorsArora, Vashawn Michael (Author) / Gardner, Joshua (Thesis director) / Knowles, Kristina (Thesis director) / Libman, Jeffrey (Committee member) / School of Music, Dance and Theatre (Contributor, Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Using two interviews with local Phoenix professional chamber musicians, this document aims to compare their experiences across musical styles to find common ground and understand the value of chamber music as a professional and educational tool.
ContributorsGrahmann, Robert (Author) / Libman, Jeffrey (Thesis director) / Compitello, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
Description
Standardization is sorely lacking in the field of musical machine learning. This thesis project endeavors to contribute to this standardization by training three machine learning models on the same dataset and comparing them using the same metrics. The music-specific metrics utilized provide more relevant information for diagnosing the shortcomings of each model.
ContributorsHilliker, Jacob (Author) / Li, Baoxin (Thesis director) / Libman, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2021-12
ContributorsHilliker, Jacob (Author) / Li, Baoxin (Thesis director) / Libman, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2021-12
ContributorsHilliker, Jacob (Author) / Li, Baoxin (Thesis director) / Libman, Jeffrey (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2021-12
Description
This research project dug into mathematics in music, exploring the various ways a number series was used in the 20th century to create musical compositions. The Fibonacci Series (FS) is an infinite number series that is created by taking the two previous numbers to create the next, excluding 0 and 1 at the very start of the series. As the numbers grow larger, the ratios between the numbers of the FS approach the value of another mathematical concept known as the Golden Mean (GM). The GM is so closely related to the series that it is used interchangeably in terms of proportions and overall structure of musical pieces. This is similar to how both the FS and GM are found in aspects of nature, like to all too well-known conch shell spiral.
The FS in music was used in a variety of ways throughout the 20th century, primarily focusing on durations and overall structure in its use. Examples of this are found in Béla Bartók’s Music for Strings, Percussion, and Celeste (1936), Allegro barbaro (1911), Karlheinz Stockhausen’s Klavierstück IX (1955), and Luigi Nono’s il canto sospeso (1955). These works are analyzed in detail within my research, and I found every example to have a natural feel to them even if its use of the FS is carefully planned out by the composer. Bartók’s works are the least precise of my examples but perhaps the most natural ones. This imprecision in composition may be considered a more natural use of the FS in music, since nature is not always perfect either. However, in works such as Stockhausen’s, the structure is meticulously formatted in such that the precision is masked by a cycle as to appear more natural.
The conclusion of my research was a commissioned work for my instrument, the viola. I provided my research to composer Jacob Miller Smith, a DMA Music Composition student at ASU, and together we built the framework for the piece he wrote for me. We utilized the life cycle of the Black-Eyed Susan, a flower that uses the FS in its number of petals. The life cycle of a flower is in seven parts, so the piece was written to have seven separate sections in a palindrome within an overall ABA’ format. To utilize the FS, Smith used Fibonacci number durations for rests between notes, note/gesture groupings, and a mapping of 12358 as the set (01247). I worked with Smith during the process to make sure that the piece was technically suitable for my capabilities and the instrument, and I premiered the work in my defense.
The Fibonacci Series and Golden Mean in music provides a natural feel to the music it is present in, even if it is carefully planned out by the composer. More work is still to be done to develop the FS’s use in music, but the examples presented in this project lay down a framework for it to take a natural place in music composition.
The FS in music was used in a variety of ways throughout the 20th century, primarily focusing on durations and overall structure in its use. Examples of this are found in Béla Bartók’s Music for Strings, Percussion, and Celeste (1936), Allegro barbaro (1911), Karlheinz Stockhausen’s Klavierstück IX (1955), and Luigi Nono’s il canto sospeso (1955). These works are analyzed in detail within my research, and I found every example to have a natural feel to them even if its use of the FS is carefully planned out by the composer. Bartók’s works are the least precise of my examples but perhaps the most natural ones. This imprecision in composition may be considered a more natural use of the FS in music, since nature is not always perfect either. However, in works such as Stockhausen’s, the structure is meticulously formatted in such that the precision is masked by a cycle as to appear more natural.
The conclusion of my research was a commissioned work for my instrument, the viola. I provided my research to composer Jacob Miller Smith, a DMA Music Composition student at ASU, and together we built the framework for the piece he wrote for me. We utilized the life cycle of the Black-Eyed Susan, a flower that uses the FS in its number of petals. The life cycle of a flower is in seven parts, so the piece was written to have seven separate sections in a palindrome within an overall ABA’ format. To utilize the FS, Smith used Fibonacci number durations for rests between notes, note/gesture groupings, and a mapping of 12358 as the set (01247). I worked with Smith during the process to make sure that the piece was technically suitable for my capabilities and the instrument, and I premiered the work in my defense.
The Fibonacci Series and Golden Mean in music provides a natural feel to the music it is present in, even if it is carefully planned out by the composer. More work is still to be done to develop the FS’s use in music, but the examples presented in this project lay down a framework for it to take a natural place in music composition.
ContributorsFerry, Courtney (Author) / Knowles, Kristina (Thesis director) / Buck, Nancy (Committee member) / School of Music (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
With this thesis, I have set out to answer two fundamental questions within music: does music mean anything, and should music mean anything? In answering those questions, I also set out to create a creative project that would implement these ideas: an original concept album of music that is programmatic in nature and incorporates motivic composition, jazz improvisation, lyrics, extra-musical audio and more all in the service of telling a narrative, a story, through music. I have done research into understanding music as a language, finding that this language is primarily communicative and recreational, rather than representational, of meaning. As well, I discuss the various different ways that music composers from Wagner to Williams have created narrative meaning in their works, using examples of leitmotif and other devices, as well as tracing the contextual associations of meaning that occurs when music is perceived in certain contexts. Furthermore, I discuss the dialogue between absolute and programmatic music, and also talk about the role of jazz improvisation in adding meaning to works.
For the second part of my thesis I talk about how I came to create the creative project aspect. I discuss how and why I designed the narrative that I did, and also analyzed the music I have created to illustrate how I implemented the various methods of musical storytelling that I detail in the first part of the paper. Lastly, I discuss my plans for publication and release of the creative project.
The third part of this thesis is a sample of the creative project. There is a version of the narrative that goes along with the creative project, as well as one of the eight pieces of original music on the creative project, entitled Journey.
Overall, I found that music does have meaning, it is just meaning that society ascribes to it based off of artistic intent and context, and as to whether music should mean anything, I believe that this is a question best left to be answered on an individual basis. Music can be whatever it wants to be.
For the second part of my thesis I talk about how I came to create the creative project aspect. I discuss how and why I designed the narrative that I did, and also analyzed the music I have created to illustrate how I implemented the various methods of musical storytelling that I detail in the first part of the paper. Lastly, I discuss my plans for publication and release of the creative project.
The third part of this thesis is a sample of the creative project. There is a version of the narrative that goes along with the creative project, as well as one of the eight pieces of original music on the creative project, entitled Journey.
Overall, I found that music does have meaning, it is just meaning that society ascribes to it based off of artistic intent and context, and as to whether music should mean anything, I believe that this is a question best left to be answered on an individual basis. Music can be whatever it wants to be.
ContributorsPrice, Alexander (Author) / Gilfillan, Daniel (Thesis director) / Kocour, Michael (Committee member) / Libman, Jeffrey (Committee member) / Department of English (Contributor) / School of Music (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05