- From last Friday, calculated fractal dimension was not matching input fractal dimension
- This is because analysis was being limited to a certain frequency range within the whole power spectrum
- Analysis of whole power spectrum confirms calculated fractal dimension equals input fractal dimension
- Produced graphs of various known power distributions
Tuesday 6/21 9:30am-12:45pm:
- Measured processing time for analysis script for audio samples with various numbers of datapoints
- Found processing time increased quadratically with number of datapoints
- Nearly all time spent on calculating instantaneous pitch
- Tested ways of decreasing processing time
- Worked on computing instantaneous pitch in parts and concatenating
Wednesday 6/22 10:15am-11:00am, 12:30pm-3:45pm:
- Continued work on computing instantaneous pitch piecewise
- Attended weekly team meeting
- Last week's goals accomplished up to loading the entire classical piece
- Need to edit script to allow loading audio piecewise
- Goals for next week:
- Today, Thursday: Finish editing script to process pitch of long audio files by breaking into parts
- Friday: Minimize processing time for algorithm; analyze 7 minute classical piece
- Monday: Repeat some of the analysis done in Professor Eglash's paper
- Analyze several samples of poetry reading, prose reading, and a Capella music
- Chart fractal dimension for each sample
- Tuesday: Analyze rhythm produced using CSDT rhythm wheels
- Wednesday (6/29): Prepare for meeting
- Compiled photos, arc coordinate printouts, and screenshots from teaching Anishinaabe Arcs at Albany Boys and Girls club into zip archive
- Finished script for analyzing wave files piecewise
- Need to read the file piecewise
- Script run time based amount of data Matlab has in workspace (not necessarily in scope)
- Corrected fractal dimension calculation
- Optimized script to find size of pieces to use to minimize run time
- Tested script on known fractal dimension-audio and short Mozart audio clip
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