首页|Research Results from Laval University Update Knowledge of Machine Learning (Spe ctro-temporal acoustical markers differentiate speech from song across cultures)
Research Results from Laval University Update Knowledge of Machine Learning (Spe ctro-temporal acoustical markers differentiate speech from song across cultures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Laval University by NewsRx editors, research stated, "Humans produce two forms of cognitively complex voca lizations: speech and song." Our news reporters obtained a quote from the research from Laval University: "It is debated whether these differ based primarily on culturally specific, learned features, or if acoustical features can reliably distinguish them. We study the spectro-temporal modulation patterns of vocalizations produced by 369 people li ving in 21 urban, rural, and small-scale societies across six continents. Specif ic ranges of spectral and temporal modulations, overlapping within categories an d across societies, significantly differentiate speech from song. Machine-learni ng classification shows that this effect is cross-culturally robust, vocalizatio ns being reliably classified solely from their spectro-temporal features across all 21 societies. Listeners unfamiliar with the cultures classify these vocaliza tions using similar spectro-temporal cues as the machine learning algorithm."
Laval UniversityCyborgsEmerging Tech nologiesMachine Learning
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