夫妻问题预测算法
This Algorithm Can Predict Relationship Trouble
夫妻问题预测算法
By analyzing the vocal patterns of couples in therapy, an algorithm was able to predict whether a relationship would get worse or improve.
一种算法可以通过分析接受心理治疗的夫妻的声音特征，预测两人的关系将会恶化还是好转。
播音/撰文 Erika Beras
翻译 Meatle
审校 吴非
统筹 李轩
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.
注意你的语气，因为研究发现，最重要的不是说的内容，而是说话方式——至少对于那些进行夫妻关系咨询的夫妇而言是这样。
That’s according to a study in Proceedings of Interspeech. [Md Nasir et al., Still Together?: The Role of Acoustic Features in Predicting Marital Outcome]
这项研究发表在《语言交互进展》(Proceedings of Interspeech)上。
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.
研究人员开发出一个计算机算法，基于夫妻的语音特征来评估两人的亲密程度。研究人员收集了过去两年间上百段婚姻咨询会的对话录音，通过处理这些录音，该算法能预测两人的关系将会恶化还是好转，预测准确率达到80%。
How they did it? The recordings were divided by acoustic features that used speech processing techniques to track pitch and voice warble and intensity.
这是怎么做到的？这个算法使用语言处理技术，将录音拆分为声调、颤音、强度等数个声学特征进行分析。
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.
下面是一段来自研究人员培训录像的录音，它将为我们阐述紧张关系下的心理学状态。这段录音表现出的“消极情感”与“反应”，在夫妻关系专家看来是相当麻烦的行为。
Female: And I want you to just come home at a more reasonable time rather than you know walking in the door at 11.
女：我希望你下次能早一点回家，而不是在11点过后才踏入家门。
Male: I just don’t think you understand just how much I have to do, what my work entails.
男：你根本不懂我有多忙，我的工作要做什么。
Female: Well, what is there to understand?
女：那些东西有什么要理解的？
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.
研究人员同样对咨询会谈进行行为分析测试，寻找一些正面的信号，比如“接纳”；或者一些负面的信号，比如“抱怨”。只使用该标准化研究手段进行预测时，其效果不如对声音进行分析。
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.
目前的研究针对的都是紧张的夫妻关系，因此上述例子主要集中在负面。我们可以期待，当这个程序处理了积极的语言后，同样适用于正面夫妻关系的分析。毕竟夫妻之间总有美言相对的时候。
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京ICP备11000850号-1
京公网安备11010502039775号 信息网络传播视听节目许可证0111611号
国家科技基础条件平台