Whiny - Audio Pattern Recognition of Crying Baby
In a simpler word "Why my baby is crying?? is the project. The project uses automatic detection of a baby cry in audio signals and is an essential step in applications such as remote baby monitoring. We will be working on an algorithm that can identify why a child is crying
Project Title
Whiny - Audio Pattern Recognition of Crying Baby
Project Area of Specialization
Project Summary
In a simpler word "Why my baby is crying?” is the project. The project uses automatic detection of a baby cry in audio signals and is an essential step in applications such as remote baby monitoring. We will be working on an algorithm that can identify why a child is crying, by making an interpretation of the infant's cry into an infant’s need. The problem falls into paralinguistic audio signal processing domain that classifies the state of an infant based on the patterns exhibited by the crying sound events. More specifically adapted methodology will be able to distinguish among the four states: (a) hungry, (b) uncomfortable (need change), (c) in pain, and (d) need to sleep.
Project Objectives
• Predict the needs of an infant based upon crying sounds.
• Alert the parents on their smart phone if they are not around
Project Implementation Method
The application will work by breaking down the acoustic features of an infant's cry and classifying them using pre-labeled cries in our newborn child sound database. The infant cries are translated using pattern recognition, deep learning and machine learning techniques.
Benefits of the Project
Crying is one of the major means of infants to communicate distress and attachment needs (such as being hungry
or cold) to their caregivers. This application serves as a baby remote monitor to automatically detect baby cry
and alert parents on their smartphones.
Technical Details of Final Deliverable
An Android based application that will record and upload a baby’s cry to server. Using the machine and deep
algorithms, the app will be able to analyze and translate baby's language in adult’s language by classifying the
recorded sound in four different possibilities.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| High End GPU Processor Machine | Equipment | 1 | 70000 | 70000 |
| An Android Based Mobile Phone | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
If you need this project, please contact me on contact@adikhanofficial.com
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