AES E-Library

Overview of Feature Selection for Automatic Speech Recognition

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.

Authors: Gerazov, Branislav; Ivanovski, Zoran
Affiliation: Faculty of Electrical Engineering and Information Technologies, Skopje, Maceonia
AES Convention:132 (April 2012) Paper Number:8634 Import into BibTeX
Subject:Analysis and Synthesis and Content Management

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 132Papers)   /conv/132/8634.pdf

Start a discussion about this paper!