Self-Supervised Learning for Infant Cry Analysis
Author:
Affiliation:
1. Ubenwa Health,Montréal,Canada
2. Université Laval,Québec City,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192576/10192577/10193421.pdf?arnumber=10193421
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1. The Role of Task and Acoustic Similarity in Audio Transfer Learning: Insights from the Speech Emotion Recognition Case
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Cited by 3 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. Analysis of Self-Supervised Speech Models on Children’s Speech and Infant Vocalizations;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
2. CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. From Cries to Answers: A Comprehensive CNN+DNN Hybrid Model for Infant Cry Classification with Enhanced Data Augmentation and Feature Extraction;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08
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