Infant Cry Classification

Infant Cry Classification

Recently, researches have been invested into developing automated methods to recognize baby's need using a short audio recording of its live cry. In this project, we report the initial results those we obtained by applying machine learning methods that were successfull in language recognition domain to the task of infant cry classification.


Project Poster: 

Project Members: 

İsmail Enes Yılmaz
Mustafa Buğra Çil

Project Advisor: 

Fikret Gürgen

Project Status: 

Project Year: 

  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

Connect with us

We're on Social Networks. Follow us & get in touch.