SounT

SounT is an audio processing system for real-time mixing, mastering, and splicing of audio tracks. It supports multiple audio formats and dynamically adapts to listening devices and user preferences, ensuring a customized audio experience. The tool comes with a RESTful API for easy integration with existing audio systems.

Applications

I want to build this to be most generally applicable.
I'm thinking of use cases like these that could be most helpful:

• General Audio production
• Live sound reinforcement
• Streaming platforms
• Augmented reality audio
• Hearing aid technology
• Automotive sound systems

Roadmap

• Core Processing
  • Basic audio file reading/writing functionality
  • Implement basic audio splicing models
  • Investigate usability of https://huggingface.co/datasets/jxie/musdb18
  • Real-time stream processing capability
  • Modules for mixing, mastering, and splicing
• AI Integration
  • Initial training setup for AI model for audio enhancement
  • Initial training setup for AI model for audio splicing
  • Implement device recognition
  • Initial setup for user preference learning mechanism
  • Implement device-adaptive EQ
  • Implement dynamic compression
• API Development
  • Design RESTful API architecture
  • Implement core API endpoints
• User Interface
  • Build Desktop UI with mobile app portability
  • Create web-based control panel

Getting Started

For a start, this is what I want to get working:

import sount

# Initialize SounT with default settings
processor = sount.AudioProcessor()

# Process an audio file
processed_audio = processor.process("input.wav", device="smartphone")

# Save the processed audio
processed_audio.save("output.wav")