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We organized our code into one main function that handles all of the SVM classifications, and a helper function that takes as input a folder of audio files and spits out the vectorized scattering coefficients for each one, stacked on top of each other in one big matrix that we can feed into the SVM. The function also takes in parameters that determine the number of chunks we split each file into and the length of each chunk, as well as some other inputs for selecting the right files from the right folder. The main function first calls this helper function on all of our accents (training and testing data) to generate all of the scattering coefficients. We then loop through all 10 pairs of accents and create 10 SVMs from their respective training matrices; the testing matrices are stacked together into one big matrix. Each SVM takes two parameters in its construction - a box constraint and a kernel scale, as well as an option for kernel function. These parameters basically tune the SVM to better categorize the specific types of vector it is given. The main function then tests these SVMs with the testing matrix, looping through each SVM and adding up the scores of the winner of each pair, then picking the accent with the highest total. Chunks from the same testing file are added to the same running total, so that one decision is made per audio file. We now have a list of guesses for each audio file, and we know what accent each file actually is. The main function organizes this data into a confusion matrix, and computes the total accuracy and the accuracy of the worst-classified accent.


To fine tune our system, we ran large chunks of our code with varied parameters to determine what parameters make our system the best at classifying audio files. First, we tuned the input to our scattering networks by varying the number of chunks we split each of our files into and the length of each chunk. We ran our entire program with 1,2,3, and 4 chunks, and between 1 and 7 seconds per chunk (excluding values that exceed the file length). We used a gaussian kernel for our SVM with the default parameters for this step. Our results showed high accuracies when we broke our signal into two chunks, and also when the total length equaled four seconds. Based off of this, we picked two chunks of two seconds each to compute our optimized scattering coefficients. We then ran these optimized coefficients through the rest of our system, this time varying the two parameters for our SVM - kernel scale and box constraint, as well as trying gaussian, polynomial, and linear kernels. We chose a gaussian kernel with parameters that yielded a high total accuracy and a high accuracy of the worst classified accent.

The code used for optimization be viewed here .

Questions & Answers

Is there any normative that regulates the use of silver nanoparticles?
Damian Reply
what king of growth are you checking .?
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
Stoney Reply
why we need to study biomolecules, molecular biology in nanotechnology?
Adin Reply
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
what school?
biomolecules are e building blocks of every organics and inorganic materials.
anyone know any internet site where one can find nanotechnology papers?
Damian Reply
sciencedirect big data base
Introduction about quantum dots in nanotechnology
Praveena Reply
what does nano mean?
Anassong Reply
nano basically means 10^(-9). nanometer is a unit to measure length.
do you think it's worthwhile in the long term to study the effects and possibilities of nanotechnology on viral treatment?
Damian Reply
absolutely yes
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it is a goid question and i want to know the answer as well
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s. Reply
there is no specific books for beginners but there is book called principle of nanotechnology
what is fullerene does it is used to make bukky balls
Devang Reply
are you nano engineer ?
fullerene is a bucky ball aka Carbon 60 molecule. It was name by the architect Fuller. He design the geodesic dome. it resembles a soccer ball.
what is the actual application of fullerenes nowadays?
That is a great question Damian. best way to answer that question is to Google it. there are hundreds of applications for buck minister fullerenes, from medical to aerospace. you can also find plenty of research papers that will give you great detail on the potential applications of fullerenes.
what is the Synthesis, properties,and applications of carbon nano chemistry
Abhijith Reply
Mostly, they use nano carbon for electronics and for materials to be strengthened.
is Bucky paper clear?
carbon nanotubes has various application in fuel cells membrane, current research on cancer drug,and in electronics MEMS and NEMS etc
so some one know about replacing silicon atom with phosphorous in semiconductors device?
s. Reply
Yeah, it is a pain to say the least. You basically have to heat the substarte up to around 1000 degrees celcius then pass phosphene gas over top of it, which is explosive and toxic by the way, under very low pressure.
Do you know which machine is used to that process?
how to fabricate graphene ink ?
for screen printed electrodes ?
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s. Reply
of graphene you mean?
or in general
in general
Graphene has a hexagonal structure
On having this app for quite a bit time, Haven't realised there's a chat room in it.
what is biological synthesis of nanoparticles
Sanket Reply
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Source:  OpenStax, Accent classification using scattering coefficients. OpenStax CNX. Dec 16, 2015 Download for free at http://legacy.cnx.org/content/col11938/1.3
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