天一大联考 2023-2024学年(上)高二年级期末考试英语试题
天一大联考 2023-2024学年(上)高二年级期末考试英语试题正在持续更新,目前2025~2026英语周报答案网为大家整理了相关试题及答案,供大家查缺补漏,高效提升成绩。
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The system,called "semantic hearing",works withheadphones that stream the captured(捕获的)(A)8.What had Sequoia National Forest been likesounds to a connected smartphone,which cancels allbefore 2021?A.It had lost track of wolves for many years.environmental sounds.Either through voicecommands or a smartphone app,headphone wearers读B.It had only had a few wolves living there.读can select which sounds they want to include from 20C.It had contained many species adjusting toclasses,such as sirens,baby cries,speech and birdfire.chirps.Only the selected sounds will be playedD.It had suffered from huge wildfiresthrough the headphones.frequently."The challenge posed to today's noise-cancelingheadphones is that the sounds headphone wearersghear need to sync (with their visual senses.You can't hear someone's voice two seconds after theytalk to you,"said senior author Shyam Gollakota,a(B)9.What is the advantage of living in a burnedUW professor."This means the algorithms mustlandscape for wolves?process sounds in under a hundredth of a second."读A.Few dangerous enemies.读That need for speed is why the system mustB.Easy availability of food.process sounds on a device such as a connectedC.Clean natural surroundings.smartphone,instead of on cloud servers.Additionally,D.Little conflict with humans.because sounds from different directions arrive inpeople's ears at different times,the system mustpreserve these delays and other clues so people canstill meaningfully perceive sounds in theirenvironment.Tested in environments such as offices,streets and(D)10.Why is Hodges worried about megafires?parks,the system was able to capture sirens,birdA.They could change soil structures in achirps,alarms and other target sounds,whileremoving all other real-world noise.When 22dramatic way.participants rated the system's voice output for the读B.They could stop small fires from coming读target sound,they said that the quality improvedinto being.compared to the original recording.In some cases,theC.They could make global climate changesystem struggled to distinguish between sounds thatget worse.share many properties,such as vocal music and humanD.They could destroy the ecosystems in thespeech.The researchers note that training the modelslong run.on more real-world data can improve these outcomes.gIn the near future,the researchers plan to release acommercial version of the system(A)11.What might the author continue talking(C)12.What's the innovative feature of the UW'sabout?new hearing system?A.How to make good control of fire.A.It can capture noise more precisely.读B.How to save lives during wildfires.读B.It is connected with efficient cloud serversC.How to put out megafires in nature.C.It can customize sounds for users'D.How to educate people about wildfires.preferences.D.It lets wearers perceive the surroundingsbetter.DAnyone who's used noise-cancelingheadphones knows that hearing the right noise at(D)13.What is the disadvantage of today's noise-the right time can be vital.Someone might want tocanceling headphones?读remove sirens(汽笛)when working indoors,butA.They can't feel the directions of sounds.not when walking along busy streets.Yet people读B.They can't recognize the target sounds.can't choose what sounds their headphones cancel.Now,a team led by researchers at theC.They lack relevant technical support.D.They lack real-time intelligence.University of Washington (UW)has developeddeep-learning algorithms (that let users pickwhich sounds pass through their headphones in realtime.3
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