Analysis of LFCC Feature Extraction in Baby Crying Classification using KNN-Reference-Cited by-同舟云学术

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Analysis of LFCC Feature Extraction in Baby Crying Classification using KNN

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS)
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Author:

Dewi Sita Purnama,Prasasti Anggunmeka Luhur,Irawan Budhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8966554/8980369/08980389.pdf?arnumber=8980389

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Speech Feature Extraction in Broadcast Hosting Based on Fluctuating Equation Inversion;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-07-20

2. A Narrative Review on Different Novel Machine Learning Techniques for Detecting Pathologies in Infants From Born Baby Cries;Journal of Voice;2024-05

3. Refining Baby Cry Classification using Data Augmentation (Time-Stretching and Pitch-Shifting), MFCC Feature Extraction, and LSTM Modeling;2023 7th International Conference on New Media Studies (CONMEDIA);2023-12-06

4. New Born Baby Cry Analysis and Classification;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

5. Infant cry classification by using different deep neural network models and hand-crafted features;Biomedical Signal Processing and Control;2023-05

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