AES E-Library

A. Baijal, J. Kim, J. Jeong, I. Hwang, J. Park, and B. Ko, "Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach," Paper 9142, (2014 October.). doi: A. Baijal, J. Kim, J. Jeong, I. Hwang, J. Park, and B. Ko, "Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach," Paper 9142, (2014 October.). doi:
Abstract: 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.

@article{baijal2014real-time,
author={baijal, anant and kim, jinsung and jeong, jae-hoon and hwang, inwoo and park, jungeun and ko, byeong-seob},
journal={journal of the audio engineering society},
title={real-time infant cry detection in diverse environments: a novel approach},
year={2014},
volume={},
number={},
pages={},
doi={},
month={october},} @article{baijal2014real-time,
author={baijal, anant and kim, jinsung and jeong, jae-hoon and hwang, inwoo and park, jungeun and ko, byeong-seob},
journal={journal of the audio engineering society},
title={real-time infant cry detection in diverse environments: a novel approach},
year={2014},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}

TY - paper
TI - Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach
SP - EP -
AU - Baijal, Anant
AU - Kim, Jinsung
AU - Jeong, Jae-hoon
AU - Hwang, Inwoo
AU - Park, JungEun
AU - Ko, Byeong-Seob
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2014 TY - paper
TI - Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach
SP - EP -
AU - Baijal, Anant
AU - Kim, Jinsung
AU - Jeong, Jae-hoon
AU - Hwang, Inwoo
AU - Park, JungEun
AU - Ko, Byeong-Seob
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2014
AB - 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.