Objective
In this work, our goal is to develop an AI algorithm and assist in implementing a system solution in automatically analyzing the intent/emotion/sentiment of baby crying through voice measurements in real world large-scale collection scenario. Specifically, we will develop an Al-algorithm to classify the intent, sentiment and emotion of baby crying (targeting infant population under 1-year-old) based on recorded voice input. We will also jointly collaborate with the company and the relevant expert collaborators to formulate the data collection system design (front and back end etc) and protocols (placements, device, and sample size, etc)