A novel infant cry recognition system using auditory model‐based robust feature and GMM‐UBM-Reference-Cited by-同舟云学术

A novel infant cry recognition system using auditory model‐based robust feature and GMM‐UBM

Published:2019-06-20 Issue:11 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Jiang Lin¹²³^ORCID,Yi Yumei¹,Chen Defeng¹,Tan Ping¹,Liu Xingbao¹

Affiliation:

1. School of Computer and Information Engineering, Key Laboratory of Hunan Province for New Retail Virtual Reality Technology Hunan University of Commerce Changsha China

2. School of Software East China University of Technology Nanchang China

3. Collaborative Innovation Center for Economics Crime Investigation and Prevention Technology Nanchang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5405

Reference39 articles.

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3. SaraswathyJ HariharanM YaacobS KhairunizamW.Automatic classification of infant cry: a review. Paper presented at: 2012 International Conference on Biomedical Engineering (ICoBE);2012;Penang Malaysia.https://doi.org/10.1109/ICoBE.2012.6179077

4. OrozcoJ Reyes‐GarcíaCA.Detecting pathologies from infant cry applying scaled conjugate gradient neural networks. Paper presented at: 11th European Symposium on Artificial Neural Networks;2003;Bruges Belgium.

5. JamMM SadjediH.Identification of hearing disorder by multi‐band entropy cepstrum extraction from infant's cry. Paper presented at: 2009 International Conference on Biomedical and Pharmaceutical Engineering;2009;Singapore.https://doi.org/10.1109/ICBPE.2009.5384066

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