| Idea Name: |
Hey Root |
| Slogan: |
Speech, Age, Gender estimation |
| Supervisor Name: |
Hammad Afzal |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
MCS |
| Supervisor Department: |
CSE |
| Contact number: |
03348507435 |
| Email ID: |
[email protected] |
| Abstract: |
| The proposed project utilizes concepts of Machine Learning and Deep Neural Networks to estimate the spoken word from a 1-second audio file and estimate the age and gender of speaker |
| What is the unmet need in society that your idea will fulfill ? |
| The project is a learning opportunity for our team members and as it is open-source so it serves as a learning example for students . |
| Who needs it ? How many would benefit ? |
| Age and gender classification can be especially helpful in several real-world applications including security and video surveillance, electronic customer relationship management, biometrics, electronic vending machines, human-computer interaction, entertainment, cosmetology, and forensic art |
| How will the solution works |
| 1. The proposed project utilizes concepts of Machine Learning and Deep Neural Networks to estimate the spoken word from a 1-second audio file.
2. And the proposed project is also planned to estimate the age and gender, where image files serve as input to the system.
3. A side-feature of the application is to perform voice-activated commands from a specific speaker
|
| Who are your competitors ? How is your solution different |
| The solution to this project is much conventional and same as previous projects done on "Speech, Age and Gender estimation using DNN". |
| Status: |
new |
| Entry Date & Time: |
2021-11-15 (1706) |
