区分母亲对婴儿和成人的言语：从日语到意大利语和德语的跨语言普遍性。
Discriminating between mothers' infant- and adult-directed speech: Cross-linguistic generalizability from Japanese to Italian and German.
作者信息
Sulpizio Simone, Kuroda Kaori, Dalsasso Matteo, Asakawa Tetsuya, Bornstein Marc H, Doi Hirokazu, Esposito Gianluca, Shinohara Kazuyuki
机构信息
Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
Department of Neurobiology and Behavior, Nagasaki University, Graduate School of Biomedical Science, Japan.
出版信息
Neurosci Res. 2018 Aug;133:21-27. doi: 10.1016/j.neures.2017.10.008. Epub 2017 Oct 20.
The aim of the present work was a cross-linguistic generalization of Inoue et al.'s (2011) algorithm for discriminating infant- (IDS) vs. adult-directed speech (ADS). IDS is the way in which mothers communicate with infants; it is a universal communicative property, with some cross-linguistic differences. Inoue et al. (2011) implemented a machine algorithm that, by using a mel-frequency cepstral coefficient and a hidden Markov model, discriminated IDS from ADS in Japanese. We applied the original algorithm to two other languages that are very different from Japanese - Italian and German - and then tested the algorithm on Italian and German databases of IDS and ADS. Our results showed that: First, in accord with the extant literature, IDS is realized in a similar way across languages; second, the algorithm performed well in both languages and close to that reported for Japanese. The implications for the algorithm are discussed.
本研究的目的是对井上等人（2011年）用于区分婴儿导向性言语（IDS）和成人导向性言语（ADS）的算法进行跨语言推广。IDS是母亲与婴儿交流的方式；它是一种普遍的交流特性，存在一些跨语言差异。井上等人（2011年）实现了一种机器算法，该算法通过使用梅尔频率倒谱系数和隐马尔可夫模型，在日语中区分IDS和ADS。我们将原始算法应用于另外两种与日语差异很大的语言——意大利语和德语，然后在意大利语和德语的IDS和ADS数据库上对该算法进行测试。我们的结果表明：第一，与现有文献一致，IDS在不同语言中的实现方式相似；第二，该算法在两种语言中都表现良好，且接近在日语中报告的性能。文中讨论了该算法的意义。
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