These days searching for a number 1 telephone directory seems very old-fashioned. Voice recognition systems are becoming more and more 2: the best of them apparently recognise 49 3. These devices save companies a huge amount of money. Stephen Evans in New York has been talking to the machines and to the men who design them. I had a bit of a Basil Fawlty moment, the other day. I rang 411, 4 which now uses a voice recognition system. I told the machine I wanted the number for "Harlem Auto Mall" and she—for 5—replied "Harlem Public School 154". No doubt like lots of people, I 6. Machines, you see, have personalities, and hanks, phone companies, railways and 7 are spending a lot of money trying to find out what kinds of voices to give the machines that speak to us, the public, on their behalf. Much of the research 8—Room 325 in McClatchy Hall—in Stanford University in California. It's the site of the drily-entitled but fascinating laboratory for " 9", and the domain of a genial, enthusiastic professor called Clifford Nass who studies, quite simply, how people and machines get on, particularly when 10. In his lab, a stream of students and local people of all shapes and sizes undergo tests. 11 are played to them and their reactions noted: "Did you trust that voice?" "Did this one have authority?" Generally, the tests show that people are 12 than by male ones. On the upside, male voiced machines are perceived to 13. One of the results of that, for example is that in Japan a stock-broking company used a female voice on its machine to give information on stocks and shares but then a male one 14. Now, in many parts of the world, when you hire a car, you get a navigation system—a little electronic map on a screen with a machine voice. In America, it's a female voice. She tells me, say, to 15 and—I fancy, at least—gets exasperated if I don't follow her directions: "Recalculating Route", she snaps, 16. Now, in Germany when they tried a similar system, men reacted against being given directions by a female voice so it had to 17. Old people, by the way, take advice more readily from young people than from people of their own age. 18. Professor Nass is working on a system where the machine-voice changes according to how you address it. He's discovered that irritable drivers can calm down if 19 is subdued—though, for some reason that he doesn't quite understand, calm drivers get wound up by subdued, low-key voices that don't vary in pitch. So the next task is to vary the system's voice according to how grumpy you, the driver, are. If you sound 20, the machine will change tone to calm you down.
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【正确答案】 1、in a five-centimetre-thick/in a 5cm-thick,    2、common and efficient,    3、out of every 50 words,    4、the American directory enquiries,    5、this machine had a female voice,    6、found myself ranting,    7、all kinds of alleged help-lines,    8、is conducted in a small room,    9、Communication between Humans and Interactive Media,    10、the machines talk to the people,    11、Voices of different ages and accents,    12、less persuaded by female voices,    13、have energy and authority,    14、to make the actual sale,    15、make a right in two miles,    16、in her American English,    17、be taken off the market,    18、Tone matters to drivers,    19、the voice on the navigation system,    20、aggressive to the machine    
【答案解析】