2D Avatar AI for Speech Recognition
Budget: $750 – $1,500 USD
Scope of Work: Scenario 1: Speech-Recognizing and Responding 2D Avatar
Project Understanding
This project aims to develop a 2D rendering avatar that can recognize speech and reply to
specific questions in a speech format. The system will be designed to work on both Android
3288 and Windows-based OS platforms. It will recognize seven predefined questions and
provide corresponding answers.
Technologies and Time Frame
Technologies:
1. Speech Recognition:
• Google Speech-to-Text API: For converting spoken words into text.
• CMU Sphinx: An open-source speech recognition toolkit that can be used for offline
recognition.
2. Speech Synthesis:
• Google Text-to-Speech API: For converting text responses into spoken words.
• Festival Speech Synthesis System: An open-source text-to-speech engine for offline
synthesis.
3. 2D Rendering:
• Unity: A cross-platform game engine that can be used for creating the 2D avatar.
• Godot Engine: An open-source game engine suitable for 2D rendering.
4. Programming Languages:
• Python: For backend processing and integration of speech recognition and synthesis
APIs.
• C# (if using Unity): For scripting within the Unity engine.
• GDScript (if using Godot): For scripting within the Godot engine.
5. Integration Tools:
• Android NDK/SDK: For integrating the system on Android devices.
• Windows API: For integrating the system on Windows OS.
Time Frame
• Week 1-2: Requirement gathering and finalizing project specifications.
• Week 3-4: Setting up development environments for both Android and Windows
platforms.
• Week 5-6: Developing the 2D avatar using Unity or Godot.
• Week 7-8: Integrating speech recognition and synthesis functionalities.
• Week 9-10: Testing and debugging on both platforms.
• Week 11-12: Final testing, optimization, and deployment.
Project Workflow
1. Initial Setup:
• Gather detailed requirements and finalize the list of seven questions and their
corresponding answers.
• Set up development environments for Android and Windows platforms.
2. Avatar Creation:
• Design and develop the 2D avatar using Unity or Godot.
• Ensure the avatar can be rendered smoothly on both platforms.
3. Speech Recognition Integration:
• Integrate the Google Speech-to-Text API or CMU Sphinx for recognizing spoken
questions.
• Implement functionality to capture audio input from the user and convert it to text.
4. Answer Processing:
• Create a database or a simple mapping for the seven questions and their
corresponding answers.
• Implement logic to match the recognized text to one of the predefined questions.
5. Speech Synthesis Integration:
• Integrate the Google Text-to-Speech API or Festival Speech Synthesis System for
converting text responses to speech.
• Ensure the synthesized speech is clear and understandable.
6. Integration with Hardware:
• Use Android NDK/SDK for Android integration and Windows API for Windows
integration.
• Ensure the application runs smoothly on Android 3288 and Windows OS.
7. Testing and Debugging:
• Perform rigorous testing on both platforms to identify and fix any issues.
• Optimize the system for performance and accuracy.
8. Final Deployment:
• Conduct final testing to ensure all functionalities work as expected.
• Deploy the application on both Android and Windows platforms.
Deliverables
1. Detailed Requirements Document:
A comprehensive document outlining all requirements and specifications.
2. 2D Avatar:
A fully functional 2D avatar capable of rendering on both Android and Windows platforms.
3. Speech Recognition Module:
A module that accurately recognizes the predefined questions.
4. Answer Processing Module:
A module that matches recognized questions to predefined answers.
5. Speech Synthesis Module:
A module that converts text answers to speech.
6. Integration and Testing Reports:
Reports detailing the integration process and results of testing on both platforms.
7. Final Application:
A fully functional application deployed on both Android 3288 and Windows OS.
Conclusion
By following this scope of work, we will develop a 2D rendering avatar that can effectively
recognize and respond to specific questions, providing a seamless user experience across
both Android and Windows platforms.
We will develop a 2D rendering avatar that can effectively recognize and respond to specific
questions, provide a seamless user experience on the website, and handle unknown queries
via email.
Project Understanding
This project aims to develop a 2D rendering avatar that can recognize speech and reply to
specific questions in a speech format. The system will be designed to work on both Android
3288 and Windows-based OS platforms. It will recognize seven predefined questions and
provide corresponding answers.
Technologies and Time Frame
Technologies:
1. Speech Recognition:
• Google Speech-to-Text API: For converting spoken words into text.
• CMU Sphinx: An open-source speech recognition toolkit that can be used for offline
recognition.
2. Speech Synthesis:
• Google Text-to-Speech API: For converting text responses into spoken words.
• Festival Speech Synthesis System: An open-source text-to-speech engine for offline
synthesis.
3. 2D Rendering:
• Unity: A cross-platform game engine that can be used for creating the 2D avatar.
• Godot Engine: An open-source game engine suitable for 2D rendering.
4. Programming Languages:
• Python: For backend processing and integration of speech recognition and synthesis
APIs.
• C# (if using Unity): For scripting within the Unity engine.
• GDScript (if using Godot): For scripting within the Godot engine.
5. Integration Tools:
• Android NDK/SDK: For integrating the system on Android devices.
• Windows API: For integrating the system on Windows OS.
Time Frame
• Week 1-2: Requirement gathering and finalizing project specifications.
• Week 3-4: Setting up development environments for both Android and Windows
platforms.
• Week 5-6: Developing the 2D avatar using Unity or Godot.
• Week 7-8: Integrating speech recognition and synthesis functionalities.
• Week 9-10: Testing and debugging on both platforms.
• Week 11-12: Final testing, optimization, and deployment.
Project Workflow
1. Initial Setup:
• Gather detailed requirements and finalize the list of seven questions and their
corresponding answers.
• Set up development environments for Android and Windows platforms.
2. Avatar Creation:
• Design and develop the 2D avatar using Unity or Godot.
• Ensure the avatar can be rendered smoothly on both platforms.
3. Speech Recognition Integration:
• Integrate the Google Speech-to-Text API or CMU Sphinx for recognizing spoken
questions.
• Implement functionality to capture audio input from the user and convert it to text.
4. Answer Processing:
• Create a database or a simple mapping for the seven questions and their
corresponding answers.
• Implement logic to match the recognized text to one of the predefined questions.
5. Speech Synthesis Integration:
• Integrate the Google Text-to-Speech API or Festival Speech Synthesis System for
converting text responses to speech.
• Ensure the synthesized speech is clear and understandable.
6. Integration with Hardware:
• Use Android NDK/SDK for Android integration and Windows API for Windows
integration.
• Ensure the application runs smoothly on Android 3288 and Windows OS.
7. Testing and Debugging:
• Perform rigorous testing on both platforms to identify and fix any issues.
• Optimize the system for performance and accuracy.
8. Final Deployment:
• Conduct final testing to ensure all functionalities work as expected.
• Deploy the application on both Android and Windows platforms.
Deliverables
1. Detailed Requirements Document:
A comprehensive document outlining all requirements and specifications.
2. 2D Avatar:
A fully functional 2D avatar capable of rendering on both Android and Windows platforms.
3. Speech Recognition Module:
A module that accurately recognizes the predefined questions.
4. Answer Processing Module:
A module that matches recognized questions to predefined answers.
5. Speech Synthesis Module:
A module that converts text answers to speech.
6. Integration and Testing Reports:
Reports detailing the integration process and results of testing on both platforms.
7. Final Application:
A fully functional application deployed on both Android 3288 and Windows OS.
Conclusion
By following this scope of work, we will develop a 2D rendering avatar that can effectively
recognize and respond to specific questions, providing a seamless user experience across
both Android and Windows platforms.
We will develop a 2D rendering avatar that can effectively recognize and respond to specific
questions, provide a seamless user experience on the website, and handle unknown queries
via email.