Difference between revisions of "ISSS608 2017-18 T3 Assign Wang Runyu Data Preparation"
| Line 25: | Line 25: | ||
==Data Description== | ==Data Description== | ||
| − | all | + | all birds audio files |
| + | |||
| + | test bird audio files | ||
| + | |||
| + | audio bird text file | ||
| + | |||
| + | test bird text file | ||
==Data Cleaning== | ==Data Cleaning== | ||
Revision as of 23:03, 6 July 2018
VAST Mini Challenge 1: "Cheep" Shots?
|
|
|
|
|
Data Description
all birds audio files
test bird audio files
audio bird text file
test bird text file
Data Cleaning
Use JMP recode time
Audio File Processing
1. To process the audio files, following R packages are loaded in this assignment: soundgen, tuneR, seewave
2. As the function analyzeFolder() which converts audio files to dataframe can only read WAV format, it is necessary for me to convert MP3 format to WAV format. In the first step, I convert the all the MP3 audio files to WAV format
3. Not all the audio files are good quality. Some audio contains noise which will distract the audio classification task. Extract all the audio files which quality is A
4. Call analyzeFolder() to read all the wav file as dataframe. And store the dataframe as csv format. Audio files in both All Birds and Test Birds from Kasios are required to process as above
The actual code can be found at here
