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Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds
Research article (Journal of Fundamental and Applied Sciences, 2018) · cited 48× · AI/ML
Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds
Summary
Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds is a scholarly article[1].
Key Facts
Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-asphyxia-in-infants-using-deep-learning-convolutional-neural-network-cnn-trained-on-mel-frequency-cepstrum-
MLA“Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-asphyxia-in-infants-using-deep-learning-convolutional-neural-network-cnn-trained-on-mel-frequency-cepstrum-.
BibTeX@misc{4ortxyz_detection-of-asphyxia-in-infants-using-deep-learning-convolutional-neural-network-cnn-trained-on-mel-frequency-cepstrum-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-asphyxia-in-infants-using-deep-learning-convolutional-neural-network-cnn-trained-on-mel-frequency-cepstrum-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of asphyxia in infants using deep learning Convolutional Neural Network (CNN) trained on Mel Frequency Cepstrum Coefficient (MFCC) features extracted from cry sounds — https://4ort.xyz/entity/detection-of-asphyxia-in-infants-using-deep-learning-convolutional-neural-network-cnn-trained-on-mel-frequency-cepstrum- (retrieved 2026-05-24)
