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Title: Isolated word speaker independent speech recognition project
Page Link: Isolated word speaker independent speech recognition project -
Posted By: computer science technology
Created at: Friday 29th of January 2010 10:22:25 PM
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Isolated word, speaker independent speech recognition

Project Goals

To make appliances smart
Use Dynamic Time Warping algorithm
13 Mel frequency Cepstral coefficients as the extracted features
Gui development and hardware interface


submitted by
Kaustubh R. Kale
Guide: Dr. John G. Harris



Description


Schematic Diagram
Endpoint detection in Java
DTW analysis in Matlab
Parallel Port operations via C++
Demo ....etc

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Title: isolated word speech recognition matlab code
Page Link: isolated word speech recognition matlab code -
Posted By:
Created at: Wednesday 06th of May 2015 04:21:01 PM
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hi,
i need a code which gives out both word and speech as output for the stored database

thank you,

regards
swetha

email the code to : [email protected] ....etc

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Title: isolated word speech recognition source code using matlab pdf
Page Link: isolated word speech recognition source code using matlab pdf -
Posted By:
Created at: Monday 29th of October 2012 09:05:18 AM
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Title: isolated word speech recognition matlab code
Page Link: isolated word speech recognition matlab code -
Posted By:
Created at: Saturday 29th of December 2012 07:53:12 PM
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Dear ;

Thank you for answer and help.


The specific for what I need help is about how I can use the output data from SVM as input to HMM. My project is about ( ISOLATED WORD speech RECOGNITION Using Hybrid SVM /HMM).

So can you send to me procedure and code programm for used output of svm as input of hmm .
please can you help me for solve my problem???

Kinds Regards
Ahmed
warsaw -poland
[email protected] ....etc

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Title: real time isolated word recognition matlab gui
Page Link: real time isolated word recognition matlab gui -
Posted By:
Created at: Wednesday 17th of October 2012 06:22:12 AM
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hello
i need this project pleaze send it to my e mail..
thank you.....
[email protected] ....etc

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Title: isolated word speech recognition matlab code
Page Link: isolated word speech recognition matlab code -
Posted By:
Created at: Friday 23rd of January 2015 08:48:52 PM
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Dear Sir/madam,
Im currently working on Isolated Word Speech Recognition Systems and i hardly need code for better understanding and the flow of approach!!! So if u grant me the code then it will be a great help for me.

Thanking you,

Best Regards,
Satheesh Kumar

email the code: [email protected] ....etc

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Title: isolated word recognition for performing control operations
Page Link: isolated word recognition for performing control operations -
Posted By: devilseye
Created at: Wednesday 22nd of December 2010 04:50:36 AM
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Title: isolated word speech recognition ppt
Page Link: isolated word speech recognition ppt -
Posted By:
Created at: Saturday 14th of February 2015 04:36:40 AM
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Title: Isolated Word speech recognition technology
Page Link: Isolated Word speech recognition technology -
Posted By: prashant1986
Created at: Wednesday 03rd of March 2010 12:32:14 AM
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Hello sir,
i am giving seminar on the above IEEE Paper . I am sending u the abstract of my paper.


This research paper aims to develop an isolated-word automatic speech recognition (IWASR) system based on vector quantization (VQ). This system receives, analyzes, searches and matches an input speech signal with the trained set of speech signals which are stored in the database/codebook, and returns matching results to users. IWASR is meant to assist customers calling a universitypsilas telephone operator to respond to their enquiries in a ....etc

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Title: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression
Page Link: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression -
Posted By: smart paper boy
Created at: Friday 29th of July 2011 04:54:38 PM
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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
ε -insensitive zone and regularization parameter C). The proposed methodology advocates analytic
parameter selection directly from the training data, rather than resampling approaches commonly
used in SVM applications. Good generalization performance of the proposed parameter selection is
demonstrated empirically using several low-dimensional and high-dimensional regression
problems. Further, we point out the importance of Vapnik’s ε -i ....etc

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