AES E-Library

AES E-Library

Real-Time Speech Signal Segmentation Methods

Document Thumbnail

Many researchers have developed algorithms for speech-signal segmentation in such applications as automatic speech recognition, speech coding, echo cancellation, automatic noise reduction, signal-to-noise ratio estimation, nonuniform time-scale modification, estimating the speech rate, automatic language identification, and speaker emotion recognition. Unlike algorithms that work offline, the authors developed two algorithms for real-time speech analysis as applied to detection of vowel-regions and estimation of speech rate. The accuracy, reliability, and real-time performance of these algorithms were evaluated in samples of Polish speech; experimental results showed that they performed equal to or better than existing offline approaches.

Authors:
Affiliation:
JAES Volume 61 Issue 7/8 pp. 521-534; July 2013
Publication Date:
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16868

Click to purchase paper as a non-member 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 $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society