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Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features
Research article (2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019) · cited 32×
Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-asphyxiated-infant-cry-classification-based-on-acoustic-features-and-weighted-prosodic-features
MLA“Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-asphyxiated-infant-cry-classification-based-on-acoustic-features-and-weighted-prosodic-features.
BibTeX@misc{4ortxyz_deep-learning-for-asphyxiated-infant-cry-classification-based-on-acoustic-features-and-weighted-prosodic-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-asphyxiated-infant-cry-classification-based-on-acoustic-features-and-weighted-prosodic-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features — https://4ort.xyz/entity/deep-learning-for-asphyxiated-infant-cry-classification-based-on-acoustic-features-and-weighted-prosodic-features (retrieved 2026-05-24)
