Dereje T. Abzaw 👋
Innovative Full Stack Developer 🖥️ & AI Engineer with 8+ Years in Software & AI
Client For:
BGI
Services:
AI and Machine Learning
Software, Web and App Development
Karaoke Project - CodebaseRater
Overview
For this project, I developed a karaoke app using React for the front end and Django for the back end, integrating AI-driven vocal removal algorithms. The app utilizes LSTM (Long Short-Term Memory) and RNN (Recurrent Neural Network) models to precisely remove vocals from audio tracks, enhancing the karaoke experience.
Research: The project involved extensive research into audio processing and AI algorithms. I studied existing vocal removal techniques and explored LSTM and RNN models to achieve precise vocal isolation, ensuring high audio quality for users.
Information Architecture: The app needed to deliver high-performance vocal removal without compromising user experience. The challenge was implementing AI algorithms in a way that balanced processing speed with audio quality, while maintaining a seamless and responsive user interface.
Challenges
Removing vocals from audio tracks in real time is computationally intensive. The main challenge was optimizing the AI algorithms to deliver precise vocal removal without introducing latency or reducing audio quality, all while maintaining a smooth user experience.
Balancing Precision and Performance in Real-Time Processing:
- Challenge: AI-driven vocal removal algorithms require significant processing power, which affected the app's real-time performance and audio quality.
- Solution: I optimized the LSTM and RNN models by fine-tuning the algorithms and leveraging Django’s efficient back-end processing. This approach reduced latency while maintaining high precision in vocal removal, ensuring an enhanced karaoke experience.
Results/Conclusion:
The Karaoke App successfully delivered high-quality vocal removal with minimal latency, enhancing users' karaoke experience. The AI algorithms provided precise vocal isolation, allowing users to enjoy cleaner tracks and better overall sound quality. The app demonstrated the potential of AI in transforming the karaoke experience, setting the stage for future improvements.
Disclaimer:
- The code base has removed all media files due to copyright issues.
- The AI solutions for the vocal remover and rating system are not included as the client has requested to keep them private.
- The code base listed here represents the skeleton of the work.
- You can request a full end-to-end demo if you're interested in seeing the complete solution in action.
