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Expanding the Sonic Palette: Customizable Web-Based Sonification with SIREN


Concepts de base
SIREN is a flexible, extensible, and customizable web-based interface that enables users to create aesthetic sonifications through a wide range of sound synthesis techniques.
Résumé

The paper introduces SIREN, a web-based sonification interface that aims to balance accessibility and customizability. SIREN is designed as a digital audio workstation for sonification, allowing users to create their own synthesizers using JavaScript modules that leverage the Web Audio API.

The key highlights of the paper include:

  1. Overview of SIREN's design, architecture, and workflow:

    • SIREN's interface is inspired by digital audio workstations, with tracks, regions, and parameter-mapped synthesizers.
    • SIREN uses modern web technologies like SvelteKit and TypeScript.
    • The workflow involves importing datasets, adding synthesizers, creating tracks and regions, and applying data mappings.
  2. SIREN's sound synthesis paradigm:

    • SIREN accepts JavaScript modules as input for synthesizers, following a defined structure.
    • The structure includes parameters (timbral and temporal), update functions, and start/stop functions.
    • Three working examples are provided: Frequency Modulation Synthesis, Formant Synthesis, and Granular Synthesis.
  3. Future work and potential improvements:

    • Integrating more sound synthesis techniques, such as by compiling the Synthesis ToolKit (STK) to WebAssembly.
    • Exploring other web audio standards like WebAssembly Modules and WebAudio Modules.
    • Creating an open-source repository for community-contributed synthesizers.

Overall, the paper demonstrates SIREN's capabilities as a flexible and extensible web-based sonification tool, empowering users to create a wide range of aesthetic sonifications.

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Idées clés tirées de

by Tristan Peng... à arxiv.org 04-01-2024

https://arxiv.org/pdf/2403.19763.pdf
Creating Aesthetic Sonifications on the Web with SIREN

Questions plus approfondies

How could SIREN's synthesizer module structure be further expanded to support more advanced or experimental sound synthesis techniques?

To enhance SIREN's synthesizer module structure for advanced sound synthesis techniques, several avenues can be explored. Firstly, incorporating support for wavetable synthesis, physical modeling, or spectral processing algorithms can add depth to the available synthesis methods. Additionally, enabling users to define custom signal processing chains or integrate machine learning models for sound generation can push the boundaries of experimental sound design within SIREN. By allowing for dynamic patching of audio modules and the creation of feedback loops, users can explore complex synthesis architectures and create unique sonic textures.

What are the potential challenges and considerations in integrating SIREN with other web audio frameworks or libraries, and how could this enhance its capabilities?

Integrating SIREN with other web audio frameworks or libraries may pose challenges related to compatibility, performance optimization, and maintaining a cohesive user experience. Ensuring seamless communication between different audio modules, handling latency issues, and managing resource allocation are critical considerations. However, such integration can significantly enhance SIREN's capabilities by leveraging the strengths of external libraries for specialized synthesis techniques, expanding the range of available sound processing tools, and fostering a collaborative ecosystem for sharing synthesizer modules and techniques.

Given the emphasis on customizability, how could SIREN's interface and workflow be designed to better support users with varying levels of technical expertise in audio programming?

To cater to users with varying levels of technical expertise in audio programming, SIREN's interface and workflow can be tailored to provide different levels of abstraction. Implementing preset templates or guided tutorials can assist beginners in creating sonifications without delving into complex synthesis details. Advanced users can benefit from an advanced mode with in-depth parameter controls, scripting capabilities, and access to low-level audio processing functions. Additionally, incorporating tooltips, contextual help menus, and interactive tutorials can offer continuous learning opportunities and support users in exploring the full potential of SIREN's customization features.
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