Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Review Papers | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014

Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach

Jeevant Singh Gaharwar, Samta Gajbhiye

Mapping of information using pattern classifiers has become more popular now days, even though without a obvious agreement on what classifiers need to be utilized or even just how benefits must be screened. This paper states that by comparative analyses how information maps in multiple class situation which provides the information concerned on neural representation. Speech signal generated from wireless devices may have noise. Noise must be separated from signal. In order to separate noise from speech signal Linear and quadratic discriminant analysis can be used. Logistic regression can be also be used in order to get accurate signal on receiver end since it will calculate the probability.

Keywords: Linear Discriminant Analysis, Quadratic Discriminant Analysis, Information Mapping, logistic regression

Edition: Volume 3 Issue 12, December 2014

Pages: 1532 - 1535

Share this Article

How to Cite this Article?

Jeevant Singh Gaharwar, Samta Gajbhiye, "Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB14659, Volume 3 Issue 12, December 2014, 1532 - 1535

82 PDF Views | 60 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Linear Discriminant Analysis'

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 1532 - 1535

Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach

Jeevant Singh Gaharwar, Samta Gajbhiye

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1103 - 1107

Recognition of 3D Frontal Face Images Using Local Ternary Patterns and MLDA Algorithm

Dr. T. Karthikeyan, T. K. Sumathi

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016

Pages: 1049 - 1052

Optimization of Huffman Encoding for Multiple Images Compression using PCDA

Khushboo Kumar Sahu, K. J. Satao

Share this Article

Comparative Studies, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 1107 - 1110

Comparative Study of PCA and LDA

Chetana Narkhede, Uma Nagaraj

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 274 - 277

A Survey on Image Compression Methods with PCA & LDA

Rakhi Seth, Sanjivani Shantaiya

Share this Article

Similar Articles with Keyword 'logistic regression'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1454 - 1458

Heart Disease Prediction with Machine Learning Approaches

Megha Kamboj

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 9, September 2020

Pages: 759 - 761

Empirical Study of Fake Reviews Detection of Online Reviews from E-Commerce Website

Phani K. Cheruku, Atul Kumar

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 1532 - 1535

Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach

Jeevant Singh Gaharwar, Samta Gajbhiye

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016

Pages: 750 - 754

Handwritten English Character Recognition Using Logistic Regression and Neural Network

Tapan Kumar Hazra, Rajdeep Sarkar, Ankit Kumar

Share this Article
Top