Measuring when a music generation algorithm copies too much: The originality report, cardinality score, and symbolic fingerprinting by geometric hashing
Research on automatic music generation lacks consideration of the originality of musical
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
Documenting a song culture: The Dutch Song Database as a resource for musicological research
P Van Kranenburg, M De Bruin, A Volk - International Journal on Digital …, 2019 - Springer
Abstract The Dutch Song Database is a digital repository documenting Dutch song culture in
past and present. It contains more than 173 thousand references to song occurrences in the …
past and present. It contains more than 173 thousand references to song occurrences in the …
“A Good Algorithm Does Not Steal–It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Research on automatic music generation lacks consideration of the originality of musical
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
outputs, creating risks of plagiarism and/or copyright infringement. We present the originality …
Tracking the rhythm: Pansori rhythm segmentation and classification methods and datasets
YR Pandeya, B Bhattarai, J Lee - Applied Sciences, 2022 - mdpi.com
This paper presents two methods to understand the rhythmic patterns of the voice in Korean
traditional music called Pansori. We used semantic segmentation and classification-based …
traditional music called Pansori. We used semantic segmentation and classification-based …
A Fingerprinting-Based Strategy for Musical Genre Similarity
A López-García - … Conference on Mathematics and Computation in …, 2024 - Springer
Music information retrieval is a field of signal processing that offers sophisticated tools for
generating computer-assisted musical systems. Acoustic fingerprinting is a well-known …
generating computer-assisted musical systems. Acoustic fingerprinting is a well-known …
Prediction in polyphony: modelling musical auditory scene analysis
SA Sauvé - 2018 - qmro.qmul.ac.uk
How do we know that a melody is a melody? In other words, how does the human brain
extract melody from a polyphonic musical context? This thesis begins with a theoretical …
extract melody from a polyphonic musical context? This thesis begins with a theoretical …
Cross-cultural perception of musical similarity within and between India and Japan
Cross-cultural perception of musical similarity is important for understanding musical
diversity and universality. In this study we analyzed cross-cultural music similarity ratings on …
diversity and universality. In this study we analyzed cross-cultural music similarity ratings on …
[PDF][PDF] The Significance of the Low Complexity Dimension in Music Similarity Judgements.
Previous research has demonstrated that similarity judgements are context specific, as they
are shaped by cultural exposure, familiarity, and the musical aesthetic of the content being …
are shaped by cultural exposure, familiarity, and the musical aesthetic of the content being …
The Semantic Web MIDI Tape: An interface for interlinking MIDI and context metadata
The Linked Data paradigm has been used to publish a large number of musical datasets
and ontologies on the Semantic Web, such as MusicBrainz, AcousticBrainz, and the Music …
and ontologies on the Semantic Web, such as MusicBrainz, AcousticBrainz, and the Music …
Flat Latent Manifolds for Human-machine Co-creation of Music
The use of machine learning in artistic music generation leads to controversial discussions
of the quality of art, for which objective quantification is nonsensical. We therefore consider a …
of the quality of art, for which objective quantification is nonsensical. We therefore consider a …