Review of Feature Extraction Techniques

5 Pages Posted: 6 Apr 2020

See all articles by Rujuta Deo

Rujuta Deo

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Aditi Rathi

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Tanmay Rathod

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Jaykumar Mevada

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Vidya Sagvekar

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT)

Date Written: April 8, 2020

Abstract

Speech is a form of vocal communication used by humans. It is made up of phonetic combinations of vowels and consonant sounds that form words. To analyse these signals we use speech processing which can be considered as a special case of digital signal processing that is specifically applied to speech signals. There are many aspects and parts in speech processing, in this paper we will be discussing about feature extraction techniques. There are various different methods that can be used for the purpose of feature extraction- Linear Predictive Coding, Mel Frequency Cepstral Coefficients, Discrete Wavelet Transforms. Determining which feature extraction technique to use is an extremely crucial step as it heavily impacts the accuracy of the project. In this paper we will be briefly discussing about the different feature extraction techniques and why Mel Frequency Cepstral Coefficients gives the most efficient and effective results.

Keywords: Feature Extraction, Linear Predictive Coding, Discrete Wavelet Transform & Mel Frequency Cepstral Coefficients

Suggested Citation

Deo, Rujuta and Rathi, Aditi and Rathod, Tanmay and Mevada, Jaykumar and Sagvekar, Vidya, Review of Feature Extraction Techniques (April 8, 2020). Proceedings of the 3rd International Conference on Advances in Science & Technology (ICAST) 2020, Available at SSRN: https://ssrn.com/abstract=3568122 or http://dx.doi.org/10.2139/ssrn.3568122

Rujuta Deo (Contact Author)

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) ( email )

Somaiya Ayurvihar Complex
Eastern Express Highway
Mumbai, MA Maharashtra 400022
India

Aditi Rathi

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) ( email )

Somaiya Ayurvihar Complex
Eastern Express Highway
Mumbai, MA Maharashtra 400022
India

Tanmay Rathod

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) ( email )

Somaiya Ayurvihar Complex
Eastern Express Highway
Mumbai, MA Maharashtra 400022
India

Jaykumar Mevada

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) ( email )

Somaiya Ayurvihar Complex
Eastern Express Highway
Mumbai, MA Maharashtra 400022
India

Vidya Sagvekar

University of Mumbai - K. J. Somaiya Institute of Engineering and Information Technology (KJSIEIT) ( email )

Somaiya Ayurvihar Complex
Eastern Express Highway
Mumbai, MA Maharashtra 400022
India

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