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No one understands me as well as my PC

机译:没有人比我的电脑更了解我

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"The problems we identified were noise, emotions, accents and daleks," says David Nahamoo. Did the leader of IBM's "superhuman" speech-recognition project just say he had a problem with daleks? The arch-enemies of the TV character Doctor Who certainly had unusual speech patterns but isn't it far more likely Nahamoo said "dialects"? Identifying the correct word would only take a moment's thought for most people, despite Nahamoo's Iranian accent and the noisy telephone line. But his best speech-recognition machines would probably never have got it at all. Which just goes to show how much work his team has left to do. Speech-recognition programs have been in development for around 40 years. Their success rate varies from application to application, but where humans get 1 word in 200 wrong, machines still make a mistake on about 1 word in 20. Nahamoo aims to close this gap and then have the machines overtake us - IBM hopes to have achieved superhuman speech recognition by 2010. "There's been a 25 per cent reduction in word error rate per year over 4 to 5 years," he points out. If this exponential improvement continues for another 8 years, he says, computers will be better than humans at recognising words.
机译:大卫·纳哈姆(David Nahamoo)表示:“我们发现的问题是噪音,情绪,口音和步调。 IBM的“超人”语音识别项目的负责人是否只是说他对达克斯有问题?电视角色Doctor Who的主要敌人肯定有不寻常的讲话模式,但Nahamoo难道说的不是“方言”吗?尽管纳哈姆(Nahamoo)具有伊朗口音和嘈杂的电话线,但对于大多数人来说,识别正确的单词只需要片刻。但是他最好的语音识别机器可能根本不会得到。这只是表明他的团队还有多少工作要做。语音识别程序已经开发了大约40年。它们的成功率因应用程序的不同而异,但是如果人类在200个错误中得到1个单词,而机器仍然在20个错误中得到大约1个单词,Nahamoo的目标是缩小这一差距,然后让这些机器超越我们-IBM希望实现这一目标到2010年实现超人语音识别。“他指出,在4到5年内,每年的单词错误率降低了25%。”他说,如果这种指数级的改进又持续了8年,那么计算机在识别单词方面将比人类更好。

著录项

  • 来源
    《New scientist》 |2003年第2419期|p.28-31|共4页
  • 作者

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然科学总论;
  • 关键词

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