Examples#
Science#
- Harmonicity Metrics Computation on MNE Epochs File
- Peaks extraction methods
- Harmonicity metrics
- From Spectral Peaks to Harmonic Spectrum Analysis
- Biotuner Paper Design and Implementation Examples
- Figure 2. Comparative analysis of different metrics evaluated across frequency pairs from unison to octave.
- Figure 3 (pairs). Correlation Matrix for sets of 2 peaks
- Figure 3 (triplets). Correlation Matrix for sets of 3 peaks
- Figure 4. Time-Resolved Harmonicity using instantaneous frequencies for three different types of signals
- Figure 5. Identification of spectral chords using time-resolved harmonicity
- Figure 6. Comparison of Normalized Dissonance and Harmonic Entropy Across Different Sets of Harmonics.
- Figure 8. Visualization of Euclidean rhythms with varying maximal denominators
- Figure 8. Harmonic Spectrum
- Biotuner Toolbox Paper Results Figures
- Figure 6. Performance analysis of different peak extraction methods
- Figure 7. Harmonicity on Simulated EEG
- Figure 8. Subject-level T-statistics comparing wakefulness to different sleep stages
- Figure 9a. Transitional Harmony in I-IV-V-I progression
- Figure 9b. Smoothed transitional harmony for ecg simulated signals
- Figure 9c. Distribution of transitional harmony values
- Figure 10. Transitional harmony on simulated EEG
- Figure 11. Harmonic Connectivity
Music#
Tuning#
- Constructing musical tunings with biosignals
- Table of content
- 1. Spectral peaks extraction
- 2. Deriving tuning from peaks ratios
- 3. Dissonance curve
- 4. Harmonic entropy
- 5. Classical tuning creation
- 5.3. Scale from generator interval
- 6. Scale reduction
- 7. Scale from multiple time series
- 8. Exporting scale in scala format
- 9. Plotting consonance matrix for a specific scale
- 10. Computing scale metrics
- 11. Visualizing ratios with Lissajous curves
- 12. Listening to scales
- Deriving spectral chords from biosignals