Automatically assigned DDC number: 006454
Manually assigned DDC number: 006454

Number of references: 16

Title: Recent Advances in Feature Extraction and Acoustic Modeling for Automatic Speech Recognition

Author:

Subject: Renato De Mori Recent Advances in Feature Extraction and Acoustic Modeling for Automatic Speech Recognition

Description: This paper reviews progress in feature extraction and acoustic modeling for automatic speech recognition based on contributions presented at the 1997 Institute of Electrical and Electronic Engineers International Conference on Acoustic, Speech and Signal Processing (ICASSP-97). 1. Introduction This paper is an extended version of an invited expert summary for the 1997 IEEE International Conference on Acoustics, Speech and Signal Processing, held in Munich, Germany in April 1997 and concerning papers presented at this conference in the area of acoustic modeling and feature extraction. Even if, in a first approach, these papers appear as sparse samples of a complex set, an effort has been made to see them as contributions to a conceptual structure of solutions to emerging problems. The choice of suitable features to be extracted from the acoustic signal and used for Automatic Speech Recognition (ASR) has been a problem for long-time. A new tendency is to attempt to optimize feature extr...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-07-24

Pubyear: 1997

Format: ps

Identifier: http://citeseer.ist.psu.edu/188150.html

Source: http://www5.informatik.uni-erlangen.de/PostScript/ICASSP97/DeMori.ps.gz

Language: en

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