Difference between revisions of "ISSS608 2017-18 T3 Assign Wang Runyu Data Preparation"
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==Audio File Processing== | ==Audio File Processing== | ||
| − | 1. To process the audio files, following R packages are | + | 1. To process the audio files, following R packages are loaded in this assignment: soundgen, tuneR, seewave. |
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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. | 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. | + | |
| + | 3. As not all the audio files are good quality, 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 | ||
Revision as of 22:32, 6 July 2018
VAST Mini Challenge 1: "Cheep" Shots?
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Data Description
all the audio is in MP3 format
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. As not all the audio files are good quality, 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
