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miso-sound-annotate

Goal: annotating 5+ instances of 10+ audio files (e.g. onset & offset of sound of interest, salience)

Sound Search Steps

  • Populate "current_term_present" and "other_term_present" columns with "yes", "no", or "unsure". Populate "notes" with notable descriptions and any other present sounds.
  • Populate "background_noise_present" column. Use "yes", "no", or "unsure" labels.
  • Continue process for given class until 5 instances have "no" under "background_noise_present", then move to next class.

Audacity Labeling Steps

  • Download each of the 5 sounds from 10 classes.
  • Highlight and label each sound in audacity (including the "other_term_present" labels).
  • file>export>export labels
  • Save .txt file as "NumberAtTheEndOfURL_labels.txt" (Ex. "180150_labels.txt").

Taxonomy Labeling Steps

  • Add each label created in Audacity to the JSON viewer or JSON file directly in GitHub. Use appropriate parent sounds.
  • Commit changes to GitHub.

Summary of all labels

Label Total duration Mean duration Count of label instances Count of files with label
0 talking 345.675 5.2375 66 8
1 swallowing 31.5382 3.15382 10 7
2 slurping 49.8157 2.07565 24 6
3 plastic_crumpling 40.1139 5.01424 8 6
4 lip_smacks 70.1987 4.67991 15 6
5 artifact 20.7815 1.15453 18 5
6 hairdryer 68.145 11.3575 6 5
7 water_drops 374.744 34.0676 11 5
8 typing 109.908 6.46515 17 5
9 recording_artifact 33.1993 3.68881 9 5
10 basketball_dribbling 112.998 4.91295 23 5
11 human_breathing 131.001 13.1001 10 5
12 harp 50.3091 10.0618 5 5
13 knife_cutting 71.0147 5.46267 13 5
14 chewing_gum 50.0861 5.56512 9 5
15 coughing 24.8287 2.48287 10 5
16 coffee_shop 812.557 162.511 5 5
17 clearing_throat 55.9018 9.31697 6 5
18 flipping_newspaper_pages 78.3414 4.3523 18 5
19 clicking 2.62047 0.327559 8 4
20 exhaling 14.0364 1.55959 9 4
21 laughing 8.29786 1.38298 6 3
22 footsteps 2.07991 1.03996 2 2
23 tapping 13.2682 2.65363 5 2
24 sliding_ceramic 15.5101 3.87754 4 2
25 squishing 4.94966 4.94966 1 1
26 singing 48.7992 9.75984 5 1
27 mouth_sounds_other 9.60523 3.20174 3 1
28 drumming 7.69038 7.69038 1 1
29 tearing_paper 1.86925 1.86925 1 1
30 birds_chirping 3.79394 3.79394 1 1
31 beeping 44.2997 22.1499 2 1
32 whimpering 0.214064 0.214064 1 1