Difference between revisions of "Summer of Code/2018/Music Blocks Widget Improvements"
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'''What is your name?''' | '''What is your name?''' | ||
− | My name is Ritwik Abhishek. I am | + | My name is Ritwik Abhishek. I am 3rd year undergraduate student at Indian Institute of |
Technology Guwahati. | Technology Guwahati. | ||
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My project involves 3 separate parts | My project involves 3 separate parts | ||
+ | |||
+ | 1) '''Fix widget bugs''' - There are several widgets in Music Blocks. As reported on github | ||
+ | |||
+ | repository <nowiki>https://github.com/walterbender/musicblocks/labels/widget</nowiki> , there are around | ||
+ | |||
+ | 20 bugs reported currently. I think there would be another 10 bugs related to widgets which | ||
+ | |||
+ | would be reported during summers. I am planning to remove 2-3 bugs per day. Most of thebugs involve pitch-time matrix, tempo, timbre, filters, rhythm ruler. Most of bugs are easy | ||
+ | |||
+ | and they would be fixed in around 10 days. Other bug reports involve adding some | ||
+ | |||
+ | functionality and are actually enhancements. | ||
+ | |||
+ | 2) '''Pitch tracker -''' It involves making a widget which would record sound, process it to find | ||
+ | |||
+ | fundamental frequency for every small segment, and then choose blocks (whose frequency | ||
+ | |||
+ | is closest to fundamental frequency of each segment), and then use these blocks to code | ||
+ | |||
+ | the recorded sound in Music Blocks language. | ||
+ | |||
+ | I chose to use fundamental frequency because it can be calculated in real time and is easy to | ||
+ | |||
+ | calculate as well. For calculating fundamental frequency I will be using autocorrelation as | ||
+ | |||
+ | feature vector. Autocorrelation is correlation of a signal with its delayed copy. |
Revision as of 09:04, 29 March 2018
Music Blocks Widget Improvements
About You
What is your name?
My name is Ritwik Abhishek. I am 3rd year undergraduate student at Indian Institute of
Technology Guwahati.
What is your email address?
ritwikabhishek@gmail.com
What is your Sugar Labs wiki username ?
A-ritwik
What is your IRC nickname on irc.freenode.net?
a-ritwik
What is your first language?
My first language is Hindi. English is my language of communication and I am fluent in it.
Where are you located, and what hours (UTC) do you tend to work?
I live in Guwahati, India (UTC+5:30). I usually work from 5AM (UTC) to 2PM (UTC), But these
timing can vary depending on the need of project or mentor. I will remain active on IRC
during my working hours.
Have you participated in an open-source project before? If so, please send us URLs to your
profile pages for those projects, or some other demonstration of the work that you have
done in open-source. If not, why do you want to work on an open-source project this
summer?
I am new to the world of open-source. I like the idea very much that anyone can contribute
to a project of his/her choice and help to develop products which are comparable or better
than proprietary products. I chose Sugar Labs because Education is very close to my heart
and Sugar Labs works to provide kids equal opportunity to learn, irrespective of their
background.
About your project
What is the name of your project ?
Music Blocks Widget Improvement
Describe your project in 10-20 sentences. What are you making? Who are you making it
for, and why do they need it? What technologies (programming languages, etc.) will you
be using?
My project involves 3 separate parts
1) Fix widget bugs - There are several widgets in Music Blocks. As reported on github
repository https://github.com/walterbender/musicblocks/labels/widget , there are around
20 bugs reported currently. I think there would be another 10 bugs related to widgets which
would be reported during summers. I am planning to remove 2-3 bugs per day. Most of thebugs involve pitch-time matrix, tempo, timbre, filters, rhythm ruler. Most of bugs are easy
and they would be fixed in around 10 days. Other bug reports involve adding some
functionality and are actually enhancements.
2) Pitch tracker - It involves making a widget which would record sound, process it to find
fundamental frequency for every small segment, and then choose blocks (whose frequency
is closest to fundamental frequency of each segment), and then use these blocks to code
the recorded sound in Music Blocks language.
I chose to use fundamental frequency because it can be calculated in real time and is easy to
calculate as well. For calculating fundamental frequency I will be using autocorrelation as
feature vector. Autocorrelation is correlation of a signal with its delayed copy.