Vowels in infant- and adult-directed speech

F1 and F2 frequencies of the vowels /i/, /a/ and /u/ were measured in speech directed to an infant and to adults. The vowels were taken from content words as well as function words. The results showed that the vowel triangles in speech to the infant were expanded compared to those in speech to adults, but only in the content words. For function words, the opposite pattern was found: adults produced more expanded vowels in adult-directed speech than in infant-directed speech

Weakly Supervised Domain-Specific Color Naming Based on Attention

The majority of existing color naming methods focuses on the eleven basic color terms of the English language. However, in many applications, different sets of color names are used for the accurate description of objects. Labeling data to learn these domain-specific color names is an expensive and laborious task. Therefore, in this article we aim to learn color names from weakly labeled data. For this purpose, we add an attention branch to the color naming network. The attention branch is used to modulate the pixel-wise color naming predictions of the network. In experiments, we illustrate that the attention branch correctly identifies the relevant regions. Furthermore, we show that our method obtains state-of-the-art results for pixel-wise and image-wise classification on the EBAY dataset and is able to learn color names for various domains.Comment: Accepted at ICPR201