|
|
|
Kuldeep Gurjar, Yang-Sae Moon and Tamer Abuhmed
The digitalization of music has led to increased availability of music globally, and this spread has further raised the possibility of plagiarism. Numerous methods have been proposed to analyze the similarity between two pieces of music. However, these t...
ver más
|
|
|
|
|
|
|
Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos
The musical key serves as a crucial element in a piece, offering vital insights into the tonal center, harmonic structure, and chord progressions while enabling tasks such as transposition and arrangement. Moreover, accurate key estimation finds practica...
ver más
|
|
|
|
|
|
|
Sangwon Lee, Hyemi Kim and Gil-Jin Jang
Audio classification; music information retrieval; audio scene characterization; temporal localization of sound sources; audio indexing; audio surveillance systems; anomaly detection from audio sounds.
|
|
|
|
|
|
|
Michalina Kania, Tomasz Lukaszewicz, Dariusz Kania, Katarzyna Moscinska and Józef Kulisz
This paper compares approaches to music key detection based on popular key-profiles with a new key detection method that utilizes the concept of the signature of fifths. The signature of fifths is a geometrical music harmonic-content descriptor. Dependin...
ver más
|
|
|
|
|
|
|
Xiao Hu, Fanjie Li and Ruilun Liu
The subjectivity of listeners? emotional responses to music is at the crux of optimizing emotion-aware music recommendation. To address this challenge, we constructed a new multimodal dataset (?HKU956?) with aligned peripheral physiological signals (i.e....
ver más
|
|
|
|
|
|
|
Tiange Zhu, Raphaël Fournier-S?niehotta, Philippe Rigaux and Nicolas Travers
We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents ...
ver más
|
|
|
|
|
|
|
Daniel Yang, Arya Goutam, Kevin Ji and TJ Tsai
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of marketplace fingerprinting is choice: we consider a broad range of fing...
ver más
|
|
|
|
|
|
|
Hui Liu, Kun Jiang, Hugo Gamboa, Tingting Xue and Tanja Schultz
As an essential subset of Chinese music, traditional Chinese folk songs frequently apply the anhemitonic pentatonic scale. In music education and demonstration, the Chinese anhemitonic pentatonic mode is usually introduced theoretically, supplemented by ...
ver más
|
|
|
|
|
|
|
Roberto De Prisco, Alfonso Guarino, Delfina Malandrino and Rocco Zaccagnino
Music is widely used for mood and emotion regulation in our daily life. As a result, many research works on music information retrieval and affective human-computer interaction have been proposed to model the relationships between emotion and music. Howe...
ver más
|
|
|
|
|
|
|
Matej Istvanek, Zdenek Smekal, Lubomir Spurny and Jiri Mekyska
Beat detection systems are widely used in the music information retrieval (MIR) research field for the computation of tempo and beat time positions in audio signals. One of the most important parts of these systems is usually onset detection. There is an...
ver más
|
|
|
|