Projects per year
Abstract
Music information retrieval (MIR) methods offer interesting possibilities for automatically identifying time points in music recordings that relate to specific brain responses. However, how the acoustical features and the novelty of the music structure affect the brain response is not yet clear. In the present study, we tested a new method for automatically identifying time points of brain responses based on MIR analysis. We utilized an existing database including brain recordings of 48 healthy listeners measured with electroencephalography (EEG) and magnetoencephalography (MEG). While we succeeded in capturing brain responses related to acoustical changes in the modern tango piece Adios Nonino, we obtained less reliable brain responses with a metal rock piece and a modern symphony orchestra musical composition. However, brain responses might also relate to the novelty of the music structure. Hence, we added a manual musicological analysis of novelty in the musical structure to the computational acoustic analysis, obtaining strong brain responses even to the rock and modern pieces. Although no standardized method yet exists, these preliminary results suggest that analysis of novelty in music is an important aid to MIR analysis for investigating brain responses to realistic music.
Original language | English |
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Article number | 716 |
Journal | Applied Sciences |
Volume | 8 |
Issue | 5 |
DOIs | |
Publication status | Published - 4 May 2018 |
Fingerprint
Dive into the research topics of 'Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study'. Together they form a unique fingerprint.Projects
- 1 Active
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FreeListening MEG/EEG
Brattico, E. (Project manager), Trusbak Haumann, N. (Participant), Lumaca, M. (Participant), Kliuchko, M. (Participant), Vuust, P. (Participant), Mencke, I. (Participant), Omigie, D. (Participant), Tardon, L. J. (Participant), Villena, A. (Participant), Barbancho, I. (Participant), Barbancho, A. M. (Participant) & Petersen, B. (Participant)
01/02/2017 → …
Project: Research
Research output
- 9 Citations
- 1 Conference abstract for conference
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Clinical applications of naturalistic MMN paradigms
Trusbak Haumann, N., 23 Sept 2022, p. 86. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile
Activities
- 1 Lecture and oral contribution
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The 9th Mismatch Negativity conference(MMN2022)
Trusbak Haumann, N. (Lecturer)
21 Sept 2022 → 23 Sept 2022Activity: Presentations, memberships, ownership and other activities › Lecture and oral contribution
File