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 loaded in this assignment: soundgen, tuneR, seewave.
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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.
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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
  
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.
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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
 
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
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The actual code can be found at [https://github.com/runyu/B6_Visual_Analytics/blob/master/Assignment_MC1_audio_preparation.Rmd here]

Revision as of 23:00, 6 July 2018

Brambling20male-zzzzzzzz.jpg VAST Mini Challenge 1: "Cheep" Shots?

Background

Data Preparation

Data Visualization

Conclusions

 

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. 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