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AI uses evolutionary search for novel sound generation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel system for generative sound synthesis that combines Quality Diversity (QD) algorithms with a supervised discriminative model. This approach, inspired by the Innovation Engine algorithm, automates the search for diverse and innovative sounds by leveraging evolutionary processes. The study introduces a new method using multiple specialized Compositional Pattern Producing Networks (CPPNs) with Digital Signal Processing (DSP) graphs, achieving comparable performance to single-CPPN setups while simplifying the networks. AI

IMPACT Introduces novel evolutionary algorithms for creative audio generation, potentially aiding composers and sound designers.

RANK_REASON The cluster contains an academic paper detailing a new method for generative sound synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI uses evolutionary search for novel sound generation

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The cluster contains an academic paper detailing a new method for generative sound synthesis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Kyrre Glette ·

    Quality-Diversity Search in Sound Generation: Investigating Innovation Engines for Audio Exploration

    This study addresses the challenges composers and sound designers face in creating and refining tools to achieve their musical goals. Using evolutionary processes to promote diversity and foster serendipitous discoveries, we automate the search through uncharted sonic spaces for …

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