Discriminating between mothers’ infant- and adult-directed speech: Cross-linguistic generalizability from Japanese to Italian and German

Publication date: Available online 20 October 2017
Source:Neuroscience Research
Author(s): Simone Sulpizio, Kaori Kuroda, Matteo Dalsasso, Tetsuya Asakawa, Marc H. Bornstein, Hirokazu Doi, Gianluca Esposito, Kazuyuki Shinohara
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.



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