You will get deep learning models like CNN, Rnn, ann, lstm, etc
Project details
Emotion detection through speech is a technology that aims to recognize and interpret emotions expressed by individuals while speaking. By analyzing various acoustic features and linguistic patterns in the speech, such as pitch, tone, rhythm, and word choice, advanced machine learning algorithms can identify emotional states such as happiness, sadness, anger, fear, and more. This technology finds applications in a wide range of fields, including customer service, mental health, human-computer interaction, and market research, as it enables better understanding and response to human emotions, leading to improved communication and user experiences.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Tools
Keras, MATLAB, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$80
|
Advanced
$110
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 2 | 5 | 10 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | |
Knowledge Graph | |||
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Watiq
Artificial Intelligence |Deep Learning |NLP | Keras |Object Detection
Taxila, Pakistan - 3:45 pm local time
Steps for completing your project
After purchasing the project, send requirements so Watiq can start the project.
Delivery time starts when Watiq receives requirements from you.
Watiq works on your project following the steps below.
Revisions may occur after the delivery date.
Project Initiation
Clarify any ambiguities or uncertainties in the project scope and deliverables.
Data Collection and Preprocessing
Identify and gather relevant datasets necessary for the project.