Abstract
In this study we investigate ways in which data sonification can improve standard data analysis techniques currently employed in the analysis of stem-cells using Fourier Transform Infrared (FTIR) Spectroscopy. Four different sonification methods have been evaluated
and their effectiveness has been evaluated through listening tests, designed to assess the discriminating capability of the auditory technique. We identify FM synthesis driven by feature extraction as the most perceptually relevant technique for the auditory classification of FTIR data. Whilst this technique is not commonly used in sonification research, it allows us to utilise the most salient characteristics of the absorption spectra, leading to an improved classification accuracy with a clear timbral differences between differentiated and non-differentiated cell-types.
and their effectiveness has been evaluated through listening tests, designed to assess the discriminating capability of the auditory technique. We identify FM synthesis driven by feature extraction as the most perceptually relevant technique for the auditory classification of FTIR data. Whilst this technique is not commonly used in sonification research, it allows us to utilise the most salient characteristics of the absorption spectra, leading to an improved classification accuracy with a clear timbral differences between differentiated and non-differentiated cell-types.
| Original language | English |
|---|---|
| Number of pages | 6 |
| Publication status | Published - Jun 2014 |
| Event | 20th International Conference on Auditory Display (ICAD–2014) - New York University’s Steinhardt School of Culture, Education and Human Development, New York, United States Duration: 22 Jun 2014 → 25 Jun 2014 |
Conference
| Conference | 20th International Conference on Auditory Display (ICAD–2014) |
|---|---|
| Country/Territory | United States |
| City | New York |
| Period | 22/06/14 → 25/06/14 |
Keywords
- stem cell classification
- Infrared spectroscopy
- auditory classification