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

Baijal A, Kim J, Jeong JH, Hwang I, Park J, Ko BS. Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach. In: AES Convention 137. Audio Engineering Society; 2014. Paper 9142. Available from: https://aes.org/publications/elibrary-page/?id=17465

@inproceedings{Baijal2014_17465,
  author = {Baijal, Anant and Kim, Jinsung and Jeong, Jae-hoon and Hwang, Inwoo and Park, JungEun and Ko, Byeong-Seob},
  title = {{Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach}},
  booktitle = {AES Convention 137},
  note = {Paper 9142},
  year = {2014},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17465}
}

TY  - CPAPER
TI  - Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach
AU  - Baijal, Anant
AU  - Kim, Jinsung
AU  - Jeong, Jae-hoon
AU  - Hwang, Inwoo
AU  - Park, JungEun
AU  - Ko, Byeong-Seob
T2  - AES Convention 137
M1  - Paper 9142
PY  - 2014
DA  - 2014/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17465
PB  - Audio Engineering Society
LA  - en
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.
ER  -