AES E-Library

AES E-Library

Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach

We present a novel approach to detect infant cry in actual outdoor and indoor settings. Using computationally inexpensive features like Mel Frequency Cepstral Coefficients (MFCCs) and timbre-related features, the proposed algorithm yields very high recall rates for detecting infant cry in challenging settings such as café, street, playground, office, and home environments, even when Signal to Noise Ratio (SNR) is as low as 6 dB, while maintaining high precision. The results indicate that our approach is highly accurate, robust and, works in real-time.

Authors:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=17465

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