When my 8-month-old cries, I ask him if he’s hungry, or wet or just needs a hug. “Babububuu,” he say
英语试题 08-11
When my 8-month-old cries, I ask him if he’s hungry, or wet or just needs a hug.
“Babububuu,” he says.
What I need is a baby cry translator. That’s just what a team of researchers say they’ve developed.
“Experienced nurses or pediatricians (儿科医师) can identify why baby is crying because they have experience, says Lichuan Liu, a professor of electrical engineering at Northern Illinois University, who conducted the research.” We talked to them, and they mentioned that based on the cry’s’ sound there’re’ some clues (线索).”
So Liu set out to identify the features of cries that can help mark them as expressions of pain or discomfort. These features include differences in pitch (音高) and frequency. The team then developed an algorithm (算法) based on automatic speech recognition to detect and identify these features. This “cry language recognition algorithm” was trained on recordings of baby cries taken from a hospital. It uses compressed sensing, a process that reconstructs a signal based on incomplete data. It can identify a baby cry against a background of, say, adult speech or loud television sounds. By classifying different cry features, like pitch, the algorithm can suggest whether the cry is due to sickness or pain, and identify the degree of urgency.
The team had experienced pediatric care providers assess forty-eight baby cry recordings for probable cause of crying hunger, tiredness, etc. They then compared these to the algorithm’s assessments. The algorithm agreed with the humans 70% of the time. Generally, so-called “uncommon cry signals”—signs of pain or sickness—are high-pitched and very loud compared to ordinary crying.
Liu and her team continue to train the technology for greater accuracy. They also plan to add more features, like the ability to identify and classify movement and facial expressions. This could help give more detailed reading of baby’s emotional (情感的) and physical state. They also hope to begin human trials in the near future.
8. The author mentions the 8-month-old child to ________.
A. draw attention to baby cries B. prove baby cries are common
C. lead in a translator for baby cries D. show the use of cry translators
9. What inspired Lichuan Liu’s idea of doing the study?
A. Pediatric care workers’ words. B. The pediatricians’ strong requests.
C. Her own nursing experiences. D. Her doubts about the previous research.
10. What did the researchers do in the study?
A. They collected baby cries from big hospitals.
B. They got 48 baby cry recordings evaluated.
C. They created an automatic speech recognition.
D. They analyzed cry features with compressed sensing.
11. What can we know about Liu’s cry language recognition algorithm?
A. It has been widely used in daily life.
B. It’s mainly meant for hungry cry signals.
C. It has been proved effective on babies.
D. It’s only been tested on recorded cries now.
【答案】
“Babububuu,” he says.
What I need is a baby cry translator. That’s just what a team of researchers say they’ve developed.
“Experienced nurses or pediatricians (儿科医师) can identify why baby is crying because they have experience, says Lichuan Liu, a professor of electrical engineering at Northern Illinois University, who conducted the research.” We talked to them, and they mentioned that based on the cry’s’ sound there’re’ some clues (线索).”
So Liu set out to identify the features of cries that can help mark them as expressions of pain or discomfort. These features include differences in pitch (音高) and frequency. The team then developed an algorithm (算法) based on automatic speech recognition to detect and identify these features. This “cry language recognition algorithm” was trained on recordings of baby cries taken from a hospital. It uses compressed sensing, a process that reconstructs a signal based on incomplete data. It can identify a baby cry against a background of, say, adult speech or loud television sounds. By classifying different cry features, like pitch, the algorithm can suggest whether the cry is due to sickness or pain, and identify the degree of urgency.
The team had experienced pediatric care providers assess forty-eight baby cry recordings for probable cause of crying hunger, tiredness, etc. They then compared these to the algorithm’s assessments. The algorithm agreed with the humans 70% of the time. Generally, so-called “uncommon cry signals”—signs of pain or sickness—are high-pitched and very loud compared to ordinary crying.
Liu and her team continue to train the technology for greater accuracy. They also plan to add more features, like the ability to identify and classify movement and facial expressions. This could help give more detailed reading of baby’s emotional (情感的) and physical state. They also hope to begin human trials in the near future.
8. The author mentions the 8-month-old child to ________.
A. draw attention to baby cries B. prove baby cries are common
C. lead in a translator for baby cries D. show the use of cry translators
9. What inspired Lichuan Liu’s idea of doing the study?
A. Pediatric care workers’ words. B. The pediatricians’ strong requests.
C. Her own nursing experiences. D. Her doubts about the previous research.
10. What did the researchers do in the study?
A. They collected baby cries from big hospitals.
B. They got 48 baby cry recordings evaluated.
C. They created an automatic speech recognition.
D. They analyzed cry features with compressed sensing.
11. What can we know about Liu’s cry language recognition algorithm?
A. It has been widely used in daily life.
B. It’s mainly meant for hungry cry signals.
C. It has been proved effective on babies.
D. It’s only been tested on recorded cries now.
【答案】
苏19057182-3号