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The Amazon Echo, a voice-driven cylindri...

    The Amazon Echo, a voice-driven cylindrical computer that sits on a table top and answers to the name Alexa, can call up music tracks and radio stations, tell jokes, answer trivia questions and control smart appliances; even before Christmas it was already resident in about 4% of American households. Voice assistants are proliferating in smartphones, too: Apple’s Siri handles over 2bn commands a week, and 20% of Google searches on Android-powered handsets in America are input by voice. Dictating e-mails and text messages now works reliably enough to be useful. Why type when you can talk?

Simple though it may seem, voice has the power to transform computing, by providing a natural means of interaction. Windows, icons and menus, and then touchscreens, were welcomed as more intuitive ways to deal with computers than entering complex keyboard commands. But being able to talk to computers abolishes the need for the abstraction of a “user interface” at all. Just as mobile phones were more than existing phones without wires, and cars were more than carriages without horses, so computers without screens and keyboards have the potential to be more useful, powerful and ubiquitous than people can imagine today.

Voice will not wholly replace other forms of input and output. Sometimes it will remain more convenient to converse with a machine by typing rather than talking (Amazon is said to be working on an Echo device with a built-in screen). But voice is destined to account for a growing share of people’s interactions with the technology around them, from washing machines that tell you how much of the cycle they have left to virtual assistants in corporate call-centres. However, to reach its full potential, the technology requires further breakthroughs—and a resolution of the tricky questions it raises around the trade-off between convenience and privacy.

Computer-dictation systems have been around for years. But they were unreliable and required lengthy training to learn a specific user’s voice. Computers’ new ability to recognise almost anyone’s speech dependably without training is the latest manifestation of the power of “deep learning”, an artificial-intelligence technique in which a software system is trained using millions of examples, usually culled from the internet. Thanks to deep learning, machines now nearly equal humans in transcription accuracy, computerised translation systems are improving rapidly and text-to-speech systems are becoming less robotic and more natural-sounding. Computers are, in short, getting much better at handling natural language in all its forms

Although deep learning means that machines can recognise speech more reliably and talk in a less stilted manner, they still don’t understand the meaning of language. That is the most difficult aspect of the problem and, if voice-driven computing is truly to flourish, one that must be overcome. Computers must be able to understand context in order to maintain a coherent conversation about something, rather than just responding to simple, one-off voice commands, as they mostly do today (“Hey, Siri, set a timer for ten minutes”). Researchers in universities and at companies large and small are working on this very problem, building “bots” that can hold more elaborate conversations about more complex tasks, from retrieving information to advising on mortgages to making travel arrangements.

Many voice-driven devices are always listening, waiting to be activated. Some people are already concerned about the implications of internet-connected microphones listening in every room and from every smartphone. Not all audio is sent to the cloud—devices wait for a trigger phrase (“Alexa”, “OK, Google”, “Hey, Cortana”, or “Hey, Siri”) before they start relaying the user’s voice to the servers that actually handle the requests—but when it comes to storing audio, it is unclear who keeps what and when.

1.According to Paragraph I the American Echo ___

A.has been sold out before Christmas

B.has been used by most American families

C.came out the market later than Apple’s Siri

D.is more useful than smart phones in fictating e-mails

2.What can we infer about the technology of voice computing?

A.It is more effective and convenient than typing

B.It needs to be improved in some important aspects

C.It increases a person’s chances of communicating with others

D.It will replace other forms of input and output in the near future

3.What are some users of voice -driven devices concerned about?

A.The devices will be in charge of theit life

B.The devices need to be activeated before working

C.They are in the dark about their data’s ownership

D.Their voices can be recognized by every smart technology?

4.What’s the author’s attitude towards voice-driven technology?

A.Worried B.Doubtful

C.Supportive D.Objective

 

1.C 2.B 3.C 4.D 【解析】 这是一篇科普说明文。口述电子邮件和短信现在已经足够可靠,可以派上用场了。既然你会说话,为什么还要打字呢?文章介绍语音驱动设备的应用。 1.推理判断题。根据第一段中The Amazon Echo, a voice-driven cylindrical computer that sits on a table top and answers to the name Alexa, can call up music tracks and radio stations, tell jokes, answer trivia questions and control smart appliances; even before Christmas it was already resident in about 4% of American households. Voice assistants are proliferating in smartphones, too: Apple’s Siri handles over 2bn commands a week, and 20% of Google searches on Android-powered handsets in America are input by voice.“亚马逊Echo是一款圆筒形的声控电脑,位于桌面,可以回答Alexa这个名字。它可以给音乐和广播电台打电话,讲笑话,回答琐碎问题,还可以控制智能电器;甚至在圣诞节之前,它就已经在大约4%的美国家庭中应用了。语音助手在智能手机中也在激增:苹果(Apple)的Siri每周处理20多亿条指令,在美国,android手机上的谷歌搜索有20%是通过语音输入的。”由第一段可知,the American Echo比Apple的Siri晚上市。故选C。 2.推理判断题。根据第三段中Voice will not wholly replace other forms of input and output. Sometimes it will remain more convenient to converse with a machine by typing rather than talking (Amazon is said to be working on an Echo device with a built-in screen).“语音不会完全取代其他形式的输入和输出。有时,通过打字而不是说话与机器交谈仍然更方便(据说亚马逊正在开发一款内置屏幕的Echo设备)。” 和 However, to reach its full potential, the technology requires further breakthroughs—and a resolution of the tricky questions it raises around the trade-off between convenience and privacy.“然而,为了充分发挥其潜力,这项技术需要进一步突破,并解决它所带来的有关便利与隐私之间权衡的棘手问题。”由此推知,关于ovice计算技术,我们可以推断出“它在一些重要方面需要改进”。故选B。 3.推理判断题。根据最后一段中Many voice-driven devices are always listening, waiting to be activated. “许多语音驱动设备一直在监听,等待被激活。”和Not all audio is sent to the cloud—devices wait for a trigger phrase (“Alexa”, “OK, Google”, “Hey, Cortana”, or “Hey, Siri”) before they start relaying the user’s voice to the servers that actually handle the requests—but when it comes to storing audio, it is unclear who keeps what and when.“并不是所有的音频都被发送到云设备上,在它们开始将用户的声音传递给处理请求的服务器之前,都要等待一个触发短语(“Alexa”、“OK,谷歌”、“嘿,Cortana”或“嘿,Siri”),但在存储音频时,不清楚是谁在什么时候保存了什么。”由此可知,voice-driven设备的一些用户关注“他们对自己数据的所有权一无所知”。故选C。 4.推理判断题。根据最后一段中Not all audio is sent to the cloud—devices wait for a trigger phrase (“Alexa”, “OK, Google”, “Hey, Cortana”, or “Hey, Siri”) before they start relaying the user’s voice to the servers that actually handle the requests—but when it comes to storing audio, it is unclear who keeps what and when.“并不是所有的音频都被发送到云设备上,在它们开始将用户的声音传递给处理请求的服务器之前,都要等待一个触发短语(“Alexa”、“OK,谷歌”、“嘿,Cortana”或“嘿,Siri”),但在存储音频时,不清楚是谁在什么时候保存了什么。”由此可知,作者对语音驱动技术的态度是“客观的”。故选D。
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