Asthitwa By Artiligenz
Problem Being Solved
Asthitwa addresses the need for natural, comforting interactions in various applications, such as emotional support systems, by providing advanced voice replication technology. This ensures that interactions are more personal and relatable, enhancing the user experience.
Project Overview
Asthitwa is an advanced voice replication project designed to mimic specific voices with high accuracy. It allows users to upload voice samples, which are then used to create a personalized voice model. This model can generate natural and emotionally supportive interactions through pre-programmed messages and personalized NLP responses. Privacy and security are paramount, with all data stored securely and controlled by the user.
Timeline and Progress
Initial Stage:
Voice Capture Implementation: Developed a function to record high-quality voice samples from users, ensuring sufficient length to capture voice nuances.
Voice Model Training Setup: Selected and implemented a machine learning framework (e.g., TensorFlow or PyTorch) for training voice synthesis models. Considered existing architectures like Tacotron and WaveNet.
Current Stage:
User Confirmation Process: Created a process where a synthesized voice clip is generated and presented to the user for approval. Adjustments are made based on user feedback, with additional voice samples requested if needed.
Model Saving and Security: Implemented secure storage for trained models, ensuring only authenticated users can access them.
Voice Output Integration: Integrated the trained voice models into the voice assistant system, enabling the assistant to respond using the personalized voice.
Next Steps:
User Interface Development: Developing a user-friendly interface for recording voice samples, providing feedback on synthesized voices, and interacting with the voice assistant.
Enhancing Security and Privacy: Continuously improving data protection and privacy measures to ensure secure handling of all voice data and user interactions.
