Work-in-Progress: Deep Learning Classification Models for Infant Cry Diagnostic
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42467-0_62
Reference18 articles.
1. LaGasse LL, Neal AR, Lester BM (2005) Assessment of infant cry: acoustic cry analysis and parental perception. Ment Retard Dev Disabil Res Rev 11(1):83–93. https://doi.org/10.1002/mrdd.20050
2. Jeyaraman S, Muthusamy H, Khairunizam W, Nadarajaw T, Yaacob S, Nisha S (2018) A review: survey on automatic infant cry analysis and classification. Health Technol 8(5):391–404. https://doi.org/10.1007/s12553-018-0243-5
3. Baeck HE, Souza MN (2001) Study of acoustic features of newborn cries that correlate with the context. In: 2001 conference proceedings of the 23rd annual international conference of the IEEE engineering in medicine and biology society, vol 3. IEEE, pp 2174–2177. https://doi.org/10.1109/IEMBS.2001.1017201
4. Abou-Abbas L, Alaie HF, Tadj C (2015) Automatic detection of the expiratory and inspiratory phases in newborn cry signals. Biomed Signal Process Control 19:35–43. https://doi.org/10.1016/j.bspc.2015.03.007
5. Abou-Abbas L, Tadj C, Gargour C, Montazeri L (2017) Expiratory and inspiratory cries detection using different signals’ decomposition techniques. J Voice 31(2):259–313. https://doi.org/10.1016/j.jvoice.2016.05.015
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3