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Implement Real-Time Dynamic Audio Waveform Visualization Using WebSockets

Description

The current audio analysis pipeline generates waveform visualizations as static PNG images after audio upload and processing. While this provides a basic visual representation of uploaded audio, static images do not accurately reflect the real-time waveform behavior expected in modern audio-processing systems and professional audio applications.

Objectives

  • Replace static waveform-only visualization with dynamic waveform streaming
  • Implement WebSocket-based waveform data transmission
  • Render real-time waveform updates directly from backend-served UI
  • Support uploaded audio files for dynamic waveform generation
  • Improve backend audio visualization capabilities
  • Maintain compatibility with the existing audio analysis pipeline
  • Provide a browser-accessible live waveform viewer

Scope of Work

Backend Audio Processing

  • Safely load uploaded audio files
  • Extract raw waveform amplitude data
  • Process waveform data in chunks for streaming
  • Support long-duration audio files efficiently

WebSocket Streaming

  • Implement FastAPI WebSocket endpoints
  • Stream waveform amplitude chunks continuously
  • Handle WebSocket connection lifecycle management
  • Support smooth real-time waveform updates

Dynamic Waveform Rendering

  • Serve waveform visualization page directly from backend
  • Render waveform dynamically using HTML5 Canvas
  • Continuously update waveform as streamed data arrives
  • Implement smooth waveform drawing and animation

Audio Analysis Integration

  • Integrate with existing /analyse/audio endpoint
  • Maintain SNR calculation support
  • Preserve existing audio-analysis functionality

File Handling & Validation

  • Validate uploaded audio formats
  • Handle invalid or corrupted audio safely
  • Support:
    • WAV
    • MP3
    • M4A
    • FLAC

Error Handling & Logging

  • Handle WebSocket disconnections gracefully
  • Handle waveform streaming failures
  • Add logging for:
    • uploads
    • waveform generation
    • websocket connections
    • streaming completion/failures

Areas to Cover

  • Real-time waveform streaming
  • WebSocket communication
  • Audio amplitude extraction
  • Dynamic HTML5 Canvas rendering
  • Backend waveform visualization
  • Long-audio waveform processing
  • Audio upload validation
  • Waveform chunk streaming

Expected Outcome

  • Dynamic waveform visualization accessible directly from backend routes
  • Real-time waveform rendering for uploaded audio files
  • WebSocket-based waveform streaming architecture
  • Smooth live waveform updates
  • Improved audio visualization experience
  • Backend-served waveform visualization page
  • Scalable and production-ready waveform streaming pipeline

Acceptance Criteria

  • Uploaded audio files generate dynamic waveforms successfully
  • WebSocket waveform streaming works correctly
  • Waveform updates continuously in browser
  • Dynamic waveform accessible from backend route
  • Long-duration audio files are supported efficiently
  • Existing audio-analysis functionality remains intact
  • Proper validation and error handling implemented
  • No breaking changes introduced to current workflows
Edited by Vemuri priya