VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis

Author:

Al Futaisi Najla1,Zhang Zixing1,Cristia Alejandrina2,Warlaumont Anne3,Schuller Bjorn4

Affiliation:

1. Imperial College London, United Kingdom

2. ENS, EHESS, Centre National de la Recherche Scientifique PSL Research University, France

3. University of California, Los Angeles, USA

4. ZD.B Embedded Intelligence for Health Care and Wellbeing, Germany

Funder

Trans-Atlantic Platform

National Science Foundation

James S. McDonnell Foundation

Agence Nationale de la Recherche

UK?s Economic Social Research Council

Publisher

ACM

Reference25 articles.

1. Elika Bergelson. 2016. Bergelson Seedlings HomeBank Corpus. https://doi.org/10.21415/T5PK6D Elika Bergelson. 2016. Bergelson Seedlings HomeBank Corpus. https://doi.org/10.21415/T5PK6D

2. Marisa Casillas Penelope Brown and Steven C. Levinson. 2017. Casillas HomeBank Corpus. https://homebank.talkbank.org/access/Secure/Casillas.html Marisa Casillas Penelope Brown and Steven C. Levinson. 2017. Casillas HomeBank Corpus. https://homebank.talkbank.org/access/Secure/Casillas.html

3. Opensmile

4. Yaroslav Ganin and Victor Lempitsky. 2014. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495(2014). Yaroslav Ganin and Victor Lempitsky. 2014. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495(2014).

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5. Towards Large-Scale Data Annotation of Audio from Wearables: Validating Zooniverse Annotations of Infant Vocalization Types;2021 IEEE Spoken Language Technology Workshop (SLT);2021-01-19

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