题目
We all know that music is a powerful influencer.A movie without a soundtrack doesn't inspire the same emotional journey.A workout without a pump-up can feel very boring.But is there a way to quantify these reactions？ In a new paper，researchers at the University of Southern California mapped out how things like pitch，rhythm，and harmony trigger different types of activity，psychological reactions，and emotions and how machine learning could use those relationships to predict how people might respond to a new piece of music.The results，presented at a conference show how we may one day be able to engineer targeted music experiences for purposes ranging from therapy（医疗） to movies. The research is part of the lab's broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people' s bodies and brains."Once we understand how media can affect your various emotions，then we can try to productively use it for actually supporting or improve human experiences，"says Shrikanth Narayanan，a professor at USC and the chef researcher in the lab. The research first searched music sites like Spotify for songs with very few plays，tagged either"happy"or"sad".Through a series of human tests，6 o pieces for each emotion were narrowed down to a final list of three：two that reliably caused sadness and one that reliably caused happiness.One hundred participants who hadn't heard the songs before split into two groups，listened to all three pieces，and either took an FMRI scan or wore pulse，heat，and eccentricity sensors on their skin and rated their emotions on a scale of 0 to10. The research then fed the data，along with 74 features for each song into several machine-learning algorithms（ 算法） and examined which features were the strongest predictor s of responses.They found，for example，that the brightness of a song and the strength of its beat were both among the best predictors of how a song would affect a listener's hart rate and brain activity. The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.But the researchers are excited about how such modes could be applied：to design music for specific individuals，to help patients with mental health challenges stimulate（刺激） specific part of their brain.The lab is already working with addiction treatment clinics to see how other forms of media could help patients. More simply，the research could be use to general playlists." You wouldn't want to listen to a song that's gonna make your heart rate speed up right before bedtime，but maybe you do if your 'r going on a long drive and you haven't had much coffee，"says Greer.（1）The writer mentioned the movie，workout at he beginning of the passage in order to ____ .A.show the importance of music.B.introduce the issue about relaxation.C.remind people of entertainment.D.discuss the relationship between music and brains.（2）According to the passage，why do researcher think we may be able to engineer targeted music for different purposes？ ____ A.Because it can improve life experiences.B.ecause it has been proved successful.C.Because it can benefit humans.D.Because it can be profitable.（3）The problems faced by the research is that ____ .A.It lacks the financial support from the government.B.It will take a long while to search for various styles of songs.C.The machine-learning models that predict reactions is still on the way.D.The data collected form the participants are not reliable.（4）what do paragraph 4 and 5 mainly talk about？ ____ A.The contents of the research.B.The drawbacks of the research.C.The process of the research.D.The findings of the research.（5）What is not mentioned about the fields the music modes could be applied？ ____ A.engineer different music for individualsB.treat mental problem patients by stimulating their brainsC.make people feel more energetic for drivingD.keep people informed of the latest music（6）Which best describe the researchers' attitude in the passage？ ____ A.doubtfulB.objectiveC.negativeD.enthusiastic
We all know that music is a powerful influencer.A movie without a soundtrack doesn't inspire the same emotional journey.A workout without a pump-up can feel very boring.But is there a way to quantify these reactions？
In a new paper，researchers at the University of Southern California mapped out how things like pitch，rhythm，and harmony trigger different types of activity，psychological reactions，and emotions and how machine learning could use those relationships to predict how people might respond to a new piece of music.The results，presented at a conference show how we may one day be able to engineer targeted music experiences for purposes ranging from therapy（医疗） to movies.
The research is part of the lab's broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people' s bodies and brains."Once we understand how media can affect your various emotions，then we can try to productively use it for actually supporting or improve human experiences，"says Shrikanth Narayanan，a professor at USC and the chef researcher in the lab.
The research first searched music sites like Spotify for songs with very few plays，tagged either"happy"or"sad".Through a series of human tests，6 o pieces for each emotion were narrowed down to a final list of three：two that reliably caused sadness and one that reliably caused happiness.One hundred participants who hadn't heard the songs before split into two groups，listened to all three pieces，and either took an FMRI scan or wore pulse，heat，and eccentricity sensors on their skin and rated their emotions on a scale of 0 to10.
The research then fed the data，along with 74 features for each song into several machine-learning algorithms（ 算法） and examined which features were the strongest predictor s of responses.They found，for example，that the brightness of a song and the strength of its beat were both among the best predictors of how a song would affect a listener's hart rate and brain activity.
The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.But the researchers are excited about how such modes could be applied：to design music for specific individuals，to help patients with mental health challenges stimulate（刺激） specific part of their brain.The lab is already working with addiction treatment clinics to see how other forms of media could help patients.
More simply，the research could be use to general playlists." You wouldn't want to listen to a song that's gonna make your heart rate speed up right before bedtime，but maybe you do if your 'r going on a long drive and you haven't had much coffee，"says Greer.
（1）The writer mentioned the movie，workout at he beginning of the passage in order to ____ .
A.show the importance of music.
B.introduce the issue about relaxation.
C.remind people of entertainment.
D.discuss the relationship between music and brains.
（2）According to the passage，why do researcher think we may be able to engineer targeted music for different purposes？ ____
A.Because it can improve life experiences.
B.ecause it has been proved successful.
C.Because it can benefit humans.
D.Because it can be profitable.
（3）The problems faced by the research is that ____ .
A.It lacks the financial support from the government.
B.It will take a long while to search for various styles of songs.
C.The machine-learning models that predict reactions is still on the way.
D.The data collected form the participants are not reliable.
（4）what do paragraph 4 and 5 mainly talk about？ ____
A.The contents of the research.
B.The drawbacks of the research.
C.The process of the research.
D.The findings of the research.
（5）What is not mentioned about the fields the music modes could be applied？ ____
A.engineer different music for individuals
B.treat mental problem patients by stimulating their brains
C.make people feel more energetic for driving
D.keep people informed of the latest music
（6）Which best describe the researchers' attitude in the passage？ ____
A.doubtful
B.objective
C.negative
D.enthusiastic
In a new paper，researchers at the University of Southern California mapped out how things like pitch，rhythm，and harmony trigger different types of activity，psychological reactions，and emotions and how machine learning could use those relationships to predict how people might respond to a new piece of music.The results，presented at a conference show how we may one day be able to engineer targeted music experiences for purposes ranging from therapy（医疗） to movies.
The research is part of the lab's broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people' s bodies and brains."Once we understand how media can affect your various emotions，then we can try to productively use it for actually supporting or improve human experiences，"says Shrikanth Narayanan，a professor at USC and the chef researcher in the lab.
The research first searched music sites like Spotify for songs with very few plays，tagged either"happy"or"sad".Through a series of human tests，6 o pieces for each emotion were narrowed down to a final list of three：two that reliably caused sadness and one that reliably caused happiness.One hundred participants who hadn't heard the songs before split into two groups，listened to all three pieces，and either took an FMRI scan or wore pulse，heat，and eccentricity sensors on their skin and rated their emotions on a scale of 0 to10.
The research then fed the data，along with 74 features for each song into several machine-learning algorithms（ 算法） and examined which features were the strongest predictor s of responses.They found，for example，that the brightness of a song and the strength of its beat were both among the best predictors of how a song would affect a listener's hart rate and brain activity.
The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.But the researchers are excited about how such modes could be applied：to design music for specific individuals，to help patients with mental health challenges stimulate（刺激） specific part of their brain.The lab is already working with addiction treatment clinics to see how other forms of media could help patients.
More simply，the research could be use to general playlists." You wouldn't want to listen to a song that's gonna make your heart rate speed up right before bedtime，but maybe you do if your 'r going on a long drive and you haven't had much coffee，"says Greer.
（1）The writer mentioned the movie，workout at he beginning of the passage in order to ____ .
A.show the importance of music.
B.introduce the issue about relaxation.
C.remind people of entertainment.
D.discuss the relationship between music and brains.
（2）According to the passage，why do researcher think we may be able to engineer targeted music for different purposes？ ____
A.Because it can improve life experiences.
B.ecause it has been proved successful.
C.Because it can benefit humans.
D.Because it can be profitable.
（3）The problems faced by the research is that ____ .
A.It lacks the financial support from the government.
B.It will take a long while to search for various styles of songs.
C.The machine-learning models that predict reactions is still on the way.
D.The data collected form the participants are not reliable.
（4）what do paragraph 4 and 5 mainly talk about？ ____
A.The contents of the research.
B.The drawbacks of the research.
C.The process of the research.
D.The findings of the research.
（5）What is not mentioned about the fields the music modes could be applied？ ____
A.engineer different music for individuals
B.treat mental problem patients by stimulating their brains
C.make people feel more energetic for driving
D.keep people informed of the latest music
（6）Which best describe the researchers' attitude in the passage？ ____
A.doubtful
B.objective
C.negative
D.enthusiastic
题目解答
答案
（1）写作意图题。第一段的主旨是音乐具有强烈的感染力。紧接着作者列举了电影、健身房如果没有音乐的陪伴，会乏味无聊。结合第三段The research is part of the lab's broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people' s bodies and brains.（这项研究是该实验室更广泛目标的一部分，目的是了解不同形式的媒体，如电影、电视广告和音乐，如何影响人们的身体和大脑。）可知，作者在文章开头提到了电影，锻炼，以讨论音乐和大脑之间的关系。故选D。
（2）推理判断题。根据倒数第二段首句The research is part of the lab' s broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people's bodies and brains.（这项研究是该实验室更广泛目标的一部分，旨在了解不同形式的媒体，如电影和电视广告以及音乐，如何影响人们的身体和大脑）可知，研究人员认为，我们可以为不同的目的设计有针对性的音乐，因为它可以改善生活体验。故选A。
（3）细节理解题。根据倒数第二段The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.（这项研究仍处于早期阶段，还需要一段时间，更强大的机器学习模型才能准确预测你对一首歌的心理和身体反应。）可知，这项研究面临的问题是，预测反应的机器学习模型仍在开发中。故选C。
（4）段落大意题。根据倒数第四段和第五段的主要内容The research first searched music sites like Spotify for songs with very few plays，tagged either"happy"or"sad".（这项研究首先在Spotify等音乐网站上搜索播放次数很少的歌曲，标记为"快乐"或"悲伤"。）可知，研究人员首先在音乐媒体平台上搜索标为"欢乐"或"悲伤"的歌曲。然后对聆听此种类歌曲的参与者分成两组，接受磁共振扫描或者皮肤上佩戴脉搏、热量、或电流感应器，按0--10 程度划分等级。然后，研究人员将数据传输到机器学习的算法中，发现一首歌的亮度、节奏、节拍轻重度都会影响听众的心率、大脑活动。所以综合两段的内容可知，主要介绍了研究的过程。故选C。
（5）细节推理题。根据第二段The results，presented at a conference show how we may one day be able to engineer targeted music experiences for purposes ranging from therapy（医疗） to movies.（在一次会议上公布的研究结果表明，我们有一天可以为从治疗到电影的各种目的设计有针对性的音乐体验。）可知A项被提及了；倒数第二段The lab is already working with addiction treatment clinics to see how other forms of media could help patients.（该实验室已经在与戒毒诊所合作，看看其他形式的媒体如何帮助患者。）可知，B选项（研究如何利用媒介帮助治疗精神病患者）被提及。C 选项在最后一段中 You wouldn't want to listen to a song that's gonna make your heart rate speed up right before bedtime，but maybe you do if your'r going on a long drive and you haven't had much coffee.（你可能不想在睡前听一首会让你心率加快的歌，但如果你要长途开车，而且没有喝太多咖啡，你可能会这么做。）揭示的意思为如果你在长途驾驶，又没喝咖啡的话，可以通过选择一定风格的歌曲来让自己保持开车的状态，D项没有被提及。故选D。
（6）观点态度题。根据倒数第二段The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.But the researchers are excited about how such modes could be applied（这项研究仍处于早期阶段，还需要一段时间，更强大的机器学习模型才能准确预测你对一首歌的心理和身体反应。但研究人员对如何应用这种模式感到兴奋）可知，研究者是对此研究是富有热情的。A.doubtful怀疑的；B.objective客观的；C.negative消极的；D.enthusiastic热情的。故选D。
（2）推理判断题。根据倒数第二段首句The research is part of the lab' s broader goal to understand how different forms of media，such as films and TV ads as well as music，affect people's bodies and brains.（这项研究是该实验室更广泛目标的一部分，旨在了解不同形式的媒体，如电影和电视广告以及音乐，如何影响人们的身体和大脑）可知，研究人员认为，我们可以为不同的目的设计有针对性的音乐，因为它可以改善生活体验。故选A。
（3）细节理解题。根据倒数第二段The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.（这项研究仍处于早期阶段，还需要一段时间，更强大的机器学习模型才能准确预测你对一首歌的心理和身体反应。）可知，这项研究面临的问题是，预测反应的机器学习模型仍在开发中。故选C。
（4）段落大意题。根据倒数第四段和第五段的主要内容The research first searched music sites like Spotify for songs with very few plays，tagged either"happy"or"sad".（这项研究首先在Spotify等音乐网站上搜索播放次数很少的歌曲，标记为"快乐"或"悲伤"。）可知，研究人员首先在音乐媒体平台上搜索标为"欢乐"或"悲伤"的歌曲。然后对聆听此种类歌曲的参与者分成两组，接受磁共振扫描或者皮肤上佩戴脉搏、热量、或电流感应器，按0--10 程度划分等级。然后，研究人员将数据传输到机器学习的算法中，发现一首歌的亮度、节奏、节拍轻重度都会影响听众的心率、大脑活动。所以综合两段的内容可知，主要介绍了研究的过程。故选C。
（5）细节推理题。根据第二段The results，presented at a conference show how we may one day be able to engineer targeted music experiences for purposes ranging from therapy（医疗） to movies.（在一次会议上公布的研究结果表明，我们有一天可以为从治疗到电影的各种目的设计有针对性的音乐体验。）可知A项被提及了；倒数第二段The lab is already working with addiction treatment clinics to see how other forms of media could help patients.（该实验室已经在与戒毒诊所合作，看看其他形式的媒体如何帮助患者。）可知，B选项（研究如何利用媒介帮助治疗精神病患者）被提及。C 选项在最后一段中 You wouldn't want to listen to a song that's gonna make your heart rate speed up right before bedtime，but maybe you do if your'r going on a long drive and you haven't had much coffee.（你可能不想在睡前听一首会让你心率加快的歌，但如果你要长途开车，而且没有喝太多咖啡，你可能会这么做。）揭示的意思为如果你在长途驾驶，又没喝咖啡的话，可以通过选择一定风格的歌曲来让自己保持开车的状态，D项没有被提及。故选D。
（6）观点态度题。根据倒数第二段The research is still in very early stages，and it will be a while before more powerful machine-learning models will be able to predict your mental and physical reactions to a song with any precision.But the researchers are excited about how such modes could be applied（这项研究仍处于早期阶段，还需要一段时间，更强大的机器学习模型才能准确预测你对一首歌的心理和身体反应。但研究人员对如何应用这种模式感到兴奋）可知，研究者是对此研究是富有热情的。A.doubtful怀疑的；B.objective客观的；C.negative消极的；D.enthusiastic热情的。故选D。