PTE考生目前最大的问题之一就是练习题缺乏。除了有限的基本官方书(PLUS,Testbuilder, OG)之外

就没有题了。很多英语基础不是很扎实的同学很难找到练习材料。悉尼文波雅思PTE培训学校专门为澳洲,尤其是悉尼、墨尔本的PTE考生准备了适合PTE听力阅读练习的科学60秒。各位PTE同学可以练习PTE听力中的summarise spoken text和PTE口语中的retell lecture,PTE听力口语-科学60秒-Frosty Moss练习记笔记技巧和复述。废话少说,下面开始:

This is Scientific American — 60-Second Science. I’m Erika Beras.

Got a minute?

Watch your tone—because it turns out it really isn’t what you say—it’s how you say it. At least when it comes to couples in couples counseling.

That’s according to a study in Proceedings of Interspeech.

Researchers developed a computer algorithm to gauge relationships between spouses based on their vocal patterns. Working with hundreds of recorded conversations from marriage therapy sessions collected over two years, the algorithm was able to predict whether a relationship was going to get better or worse with an accuracy of just under eighty percent.

How they did it? The recordings were divided by acoustic features that used speech processing techniques to track pitch and voice warble and intensity.

These clips from the researcher’s training video illustrate psychological states that characterize distressed relationships. This one, for example, shows “negative affect” and “reactivity” – behaviors that relationship experts believe are troublesome.

Female: And I want you to just come home at a more reasonable time rather than you know walking in the door at 11.

Male: I just don’t think you understand just how much I have to do, what my work entails.

Female: Well, what is there to understand?

The counseling sessions were also tested against behavioral analyses with codes for positives such as “acceptance” and the negatives such as “blame.” Using only that more standardized research method wasn’t as predictable as listening to the vocal expressions.

Now, these examples are negative as the researchers focused on distressed relationship dynamics. One could imagine the algorithms may also work the same way when looking at positive vocal patterns. Because even married couples sometimes say nice things to each other.

Thanks for the minute for Scientific American — 60-Second Science Science. I’m Erika Beras.


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