摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-一项关于人工智能的新研究现在可用。根据NewsRx编辑对拉瓦尔大学的新闻报道，研究表明：“人类产生两种形式的认知复杂的声音：言语和歌曲。”我们的新闻记者从拉瓦尔大学的研究中获得了一句话：“这些差异主要是基于文化上特定的、习得的特征，还是声学特征能够可靠地区分它们，我们对来自六大洲21个城市、农村和小规模社会的369人发声的光谱-时间调制模式进行了研究。光谱和时间调制的具体范围，在不同的社会中，语音和歌曲的类别重叠，显著区分开来。机器学习分类表明，这种效果在跨文化中是稳健的，在所有21个社会中，发声只能根据它们的光谱-时间特征进行可靠的分类。不熟悉文化的听众使用与机器学习算法类似的光谱-时间线索对这些发声进行分类。
Abstract
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."
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