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      考研英语水平的进步，不仅要记单词，还需要阅读外语文献等资料。接下来，小编为2024考研者们，整理出——2024考研英语同源外刊7月:下一个大热门就是它了!供考生参考。

2024考研英语同源外刊7月:下一个大热门就是它了!

Why does one song soar to the top of the charts while another plummets? The anatomy of a hit remains a stubborn mystery that researchers and the music industry at large have been longing to solve. A new study suggests that the secret to distinguishing a hit lies in the brains of listeners—and that artificial intelligence can analyze physiological signals to reveal that secret. But other “hit song science” researchers aren’t ready to declare victory just yet.

为什么一首歌曲能在排行榜上一路高歌猛进，而另一首却会一路下滑?对热门歌曲的剖析一直是个难题，研究人员和整个音乐界一直渴望解开这个谜题。一项新的研究表明，分辨热门歌曲的秘密在于听众的大脑，而人工智能可以通过分析生理信号来揭开这个神秘面纱。但其他“热门歌曲科学”的研究人员还没有做好宣告成功的准备。

Researchers from Claremont Graduate University used a wearable, smartwatchlike device to track the cardiac responses of people listening to music. They used an algorithm to convert these data into what they say is a proxy for neural activity. The monitor focused on reactions associated with attention and emotion. A machine-learning model trained on these data was then able to classify whether a song was a hit or a flop with 97 percent accuracy.

克莱蒙特研究生大学的研究人员使用一种类似智能手表的可穿戴设备来跟踪人们听音乐时的心脏反应。他们使用一种算法将这些数据转换成他们所称的神经活动的测算替代物。监测器关注的是与注意力和情绪相关的反应。然后，利用这些数据进行训练的机器学习模型能够对一首歌是热门还是冷门进行分类，准确率达97%。

“The study could be groundbreaking but only if it’s replicated and generalizable. There are many biases that can influence a machine-learning experiment, especially one that attempts to predict human preferences,” says Hoda Khalil, a data scientist at Carleton University in Ontario, who has researched hit song science but is not affiliated with the study. “And even if we have sufficient statistical evidence to generalize, we need to consider how this model could be misused. The technology cannot leap far ahead of the ethical considerations.”

“这可能是一项开创性的研究，但前提是它可复制、可推广。安大略省卡尔顿大学的数据科学家霍达·哈利勒说：“有很多主观偏见会影响机器学习实验，尤其是那些试图预测人类偏好的实验。”哈利勒研究过热门歌曲科学，但没有参与这项研究。“即使我们有足够的统计证据进行推广，我们也需要考虑这个模型可能会被滥用的情况。这项技术需要受到伦理考量的限制。”

Thus far, determining what qualities link popular songs has been more a matter of alchemy than science. Music industry experts have traditionally relied on large databases to analyze the lyrical and acoustic aspects of hit songs, including their tempo, explicitness and danceability. But this method of prediction has performed only minimally better than a random coin toss.

到目前为止，确定流行歌曲之间的联系更多的是一种炼金术，而不是科学。但这种预测方法的表现只比随机抛硬币好一点点。

“As wearable devices become cheaper and more common, this technology can passively monitor your brain activity and recommend music, movies or TV shows based on that data,” Zak says. “Who wouldn’t want that?” But even if this approach works, the prospect of combining mind reading and machine learning to predict hit songs remains fraught with ethical dilemmas. “If we train a machine-learning model to understand how different types of music influence brain activity, couldn’t it be easily exploited to manipulate people’s emotions?” Khalil says. She points out that relying solely on an opt-in approach for such services often fails to safeguard users from privacy breaches.

扎克说：“随着可穿戴设备变得越来越便宜和普遍，这项技术可以被动地监测你的大脑活动，并根据这些数据推荐音乐、电影或电视节目。”“谁会不想这样呢?”但即使这种方法有效，通过读心术和机器学习来预测热门歌曲，其前景仍然充满着伦理困境。“如果我们训练一个机器学习模型来理解不同类型的音乐是如何影响大脑活动的，这岂不是很容易被滥用于操纵人们的情绪?”哈利勒说。她指出，仅仅依靠设置(用户)“选择加入此项服务”的方式通常并不能很好地保护用户的隐私不受侵犯。

 

单词：

1. plummet

/ˈplʌmɪt/

v. (数量、价值等)暴跌; (尤指从高处)坠落

n. 铅锤，测深锤; 骤降

2.anatomy

/əˈnætəmɪ/

n. 解剖学; (动植物的)组成结构，解剖构造; 人体; 剖析，详细分析; 原因，成因; 骨骼

      综上是“2024考研英语同源外刊7月:下一个大热门就是它了!”，希望对备战2024考研考生们有所帮助!让我们乘风破浪，终抵彼岸，考研加油!

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