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Convention Paper

Overview of Feature Selection for Automatic Speech Recognition

Authors: Gerazov, Branislav; Ivanovski, Zoran

AES Convention 132 · Paper 8634 · April 2012

Abstract

The selection of features to be used for the task of Automatic Speech Recognition (ASR) is critical to the overall performance of the ASR system. Throughout the history of development of ASR systems, a variety of features have been proposed and used, with greater or lesser success. Still, the research for new features, as well as modifications to the traditional ones, continues. Newly proposed features as well as traditional feature optimization focus on adding robustness to ASR systems, which is of great importance for applications involving noisy environments. The paper seeks to give a general overview of the various features that have been used in ASR systems, giving details to an extent granted by the space available.

Details

Published in
AES Convention 132
AES Convention
132
Paper number
8634
Publication date
April 6, 2012
Session subject
Analysis and Synthesis and Content Management
Affiliation
Faculty of Electrical Engineering and Information Technologies, Skopje, Maceonia (See document for exact affiliation information.)
Type
Convention Paper