Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"music data"”.
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Exploring deep learning based methods for information retrieval in Indian classical music
A vital aspect of Indian Classical Music (ICM) is Raga, which serves as a melodic framework for compositions and improvisations alike. Raga Recognition is an important music information retrieval task in ICM as it can aid numerous downstream applications ranging from music recommendations to …
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Speech/Music Discrimination: Novel Features in Time Domain
… can be used to discriminate between speech and music in the time domain for the purpose of data retrieval. The study used speech and music data that were recorded in standard anechoic chambers and sampled at 44.1 kHz. Two types of new features were found and thoroughly examined: the Ratio of …
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Music therapy for pregnancy: A phenomenological inquiry of the experiences of pregnant women engaging in music therapy
… experiences of expectant mothers engaging in music therapy for perinatal mental health and aimed to give voice to the experiences of pregnant women in a therapeutic setting participating in creative exploration through music. Data was collected and analyzed from five adult female participants …
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Internally and Externally Oriented Perception of Music
… time interact with each other when we listen to music. The goal of this study is to investigate the difference between internally and externally oriented perception of music. Using two different music data sets, we measure internal and external time perception through specifically developed …
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Exploring Academic Acculturation Experiences of Chinese International Students with Low Oral English Proficiency: A Musically Enhanced Narrative Inquiry
… currently studying at a Canadian university. A musically enhanced narrative inquiry approach was employed, building on traditional forms of narrative inquiry by utilizing sound and music. Data were collected through art-informed interviews with six Chinese international students, and were …
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The Shape of Music. Computational Specification of Hand Gestures in Piano Playing.
… gesture variation in performances of the same music, with six proficient piano players participating in the recordings. I developed technical workflows and processes to record multimodal performance data, including video, audio, MIDI and 3D motion capture, and prepared the data for …
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Evoked emotional responses in the performance practices of selected Yorùbá dùndún ensembles
… the communication of emotion through dùndún music of the Yorùbá ethnic group of Nigeria. The two-pronged focus is on (a) the strategies that dùndún performers employ to potentially arouse emotions in their listeners, and (b) the responses elicited in the listeners. The study is situated in …
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"We can take words apart" How can I Enhance my Teaching of Phonological Awareness?
… incorporating movement, concrete materials and music. Data was collected through the use of semi-structured observations, a reflective journal, pre and post-intervention assessment and a post-intervention questionnaire. The study found that a multi-modal, multi-sensory approach to phonological …
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Structured polyphonic patterns
… the representation and retrieval of patterns in musical data. The method supports the typical polyphonic patterns that one finds in music theory textbooks. Most current computational methods to musical patterns are restricted to monophony (one melody at a time). The Structured Polyphonic Patterns …
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Automatic concept learning via information lattices
… distilling interpretable rules and concepts from data, a prelude to more advanced knowledge discovery and problem solving in creative domains such as art and science. While concept learning is pervasive in humans, current artificial intelligent (AI) systems are mostly good at either applying …
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Correlations Between Song Popularity and Their Audio Features Using Machine Learning
… ranking. The project utilized MongoDB for data storage, Spotipy for API integration, and Streamlit with Plotly for visualization. This work provides insights into the practical challenges of large-scale music analysis and the relationship between technical audio characteristics and …