Course description
Sonification of signals can be a powerful tool for data analysis, leveraging the unique capabilities of human auditory perception.
The human ear excels at detecting subtle patterns, rhythms, and changes in complex audio streams, making it an ideal complement to visual data analysis techniques. By converting data into sound, researchers can exploit our innate ability to process multiple audio channels simultaneously, allowing for a more holistic and intuitive understanding of complex datasets.
This approach is particularly valuable when dealing with time-series data or high-dimensional datasets, where traditional visualization methods may fall short. Sonification enables analysts to perceive microstructures and temporal changes that might be less apparent in visual representations. For instance, in seismic data analysis, converting time-frequency information into music can reveal patterns and anomalies that might be overlooked in graphical formats.
This technique not only enhances data interpretation but also provides an engaging and accessible way to explore scientific data, potentially bridging the gap between specialists and a broader audience. By tapping into our natural musical intelligence, sonification offers a unique perspective on data, potentially leading to new insights and discoveries that might remain hidden in purely visual analyses.
Target audience
Students, PhD student, Researchers and curious people interested in data analysis and music.
Learning outcomes
- Data import.
- Basic processing of time series.
- Time-frequency analysis.
- Work with real geophysical data (e.g. earthquake seismograms).
- Conversion signals to audible format.
- Analysis of the relation between a time series and its sonic representation.
Prerequisites and required materials
- Basic python or Matlab knowledge.
- Bring your laptop with Python or Matlab installed.
Lunch
- There will be a complementary buffet-lunch at 12:00-13:00 from the Sverdrups spiseri (Georg Sverdrups Hus, 2nd floor).
- After you get your lunch, join us at Store møterom where we have reserved seats for #DSDays25 participants.
Number of participants
After the soft deadline, a waiting list will be automatically handled upon de-registrations.
Contact
If you have any questions regarding this course, or anything else about the DSDays25 event, please contact us per email: digitalscholarship@ub.uio.no
Sign up for this workshop!