Journal Forum

Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
1 comment

Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
13 comments

Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
2 comments

Access Journal Forum

AES E-Library

Automatic Regular Voice, Raised Voice, and Scream Recognition Employing Fuzzy Logic

A method of automatic recognition of regular voice, raised voice and scream used for audio surveillance system is presented. The algorithm for detection of voice activity in a noisy environment is discussed. Signal features used for sound classification, based on energy, spectral shape and tonality are introduced. Sound feature vectors are processed by a fuzzy classifier. The method is employed in an audio surveillance system working in real-time both in an indoor and outdoor environment. Achieved results of classifying real sound signals are presented and discussed.

Authors:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:

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:

Start a discussion about this paper!


 
Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society