内容正文:
Week One
第1周
晚练
的阅读理解A
The technology for speech-recognition systems has advanced greatly since its appearance in the 1950s.
Many voice systems can understand the language when spoken at a normal conversational rate.But even the
advanced human-machine interfaces()used today are unable to trick the listeners into thinking a com-
puter is a human.Why is this?Simply put,it's because human beings rely on more than words to convey ideas
or interpret messages,such as tones,facial expressions,body movements,and objects in the world around them.
One significant recent achievement in the field of talking computers is virtual personal assistants(VPAs)
on mobile phones.If you tell a mobile phone VPA that you want to schedule a lunch with a friend,it can set
the appointment in your phone in seconds.The VPA can also hold a basic "conversation"and has earned
fame for its elementary sense of humour.Still,the humour is preprogrammed and can be triggered only
when human users speak certain key words.
While the potential for"real"communication between a human and a machine may seem exciting,this possi-
bility concerns some people.Some experts worry about people's attachment to these machines and fear that the art
of successful human-to-human conversation will be undeveloped in younger generations.They worry that people
won't be able to display the right emotion or tone in conversations because they haven't been practising those skills.
Others fear that machines will take over functions that were traditionally performed by humans,such as customer
service.Another concern often associated with the development of new technology is the invasion of privacy(
)When people use certain speech-recognition applications,they leave behind an audio track of their speech.
When you ask a VPA for directions,your speech is sent and saved to a remote server for processing.This digital
trail may lead to data mining,or the collection of large quantities of personal data.
For now,however,the continuing ev