You will get Gender Identification through Voice MFCC-GMM
Project details
This project is used to Identify genders based on Mel-Frequency Cepstral Coefficients and classification is done with the help of Gaussian Mixture Modules that seperates the gaussian distributions with the help of ceptral coefficients
AI Development Type
Deep Learning, Model Tuning, Software MaintenanceAI Tools
Keras, NVIDIA AI Platform, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$6
|
Advanced
$7
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 7 days |
Number of Revisions | 2 | 2 | 2 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$7 - $12About Swapna
AI & Machine Learning | API, API Development, Artificial Intelligence
Hyderabad, India - 5:05 pm local time
Steps for completing your project
After purchasing the project, send requirements so Swapna can start the project.
Delivery time starts when Swapna receives requirements from you.
Swapna works on your project following the steps below.
Revisions may occur after the delivery date.
Collection of Data, Cleaning and Pre-processing
In this step, we are going to collect male and female voice data and we will do cleaning and pre-processing for feature extraction
Design an Architecture
After Pre-Processing, we will design a architecture, train it and tune it in order to make it work for the real time