首页|Acoustic parameter combinations underlying mapping of auditory pseudoword sounds to multiple domains of meaning: a machine learning approach

Acoustic parameter combinations underlying mapping of auditory pseudoword sounds to multiple domains of meaning: a machine learning approach

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Sound symbolism, referring to the resemblance between the sound structure of wo rds and their meaning, is commonly studied using auditory pseudowords. Companion studies across seven meaning domains demonstrated systematic relationships, var ying by domain, between the perceptual ratings, phonetic features, and acoustic parameters of a set of 537 pseudowords (Lacey et al. 2024a, 2024b).

CyborgsEmerging TechnologiesMachine LearningNeuroscience

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.10)