Levinson S E
Linguistics Research Department, AT&T Bell Laboratories, Murray Hill, NJ 07974, USA.
Proc Natl Acad Sci U S A. 1995 Oct 24;92(22):9953-5. doi: 10.1073/pnas.92.22.9953.
This paper introduces the session on advanced speech recognition technology. The two papers comprising this session argue that current technology yields a performance that is only an order of magnitude in error rate away from human performance and that incremental improvements will bring us to that desired level. I argue that, to the contrary, present performance is far removed from human performance and a revolution in our thinking is required to achieve the goal. It is further asserted that to bring about the revolution more effort should be expended on basic research and less on trying to prematurely commercialize a deficient technology.
本文介绍了关于先进语音识别技术的专题讨论。构成该专题讨论的两篇论文认为,当前技术所产生的性能在错误率方面与人类性能相比仅相差一个数量级,并且渐进式改进将使我们达到期望的水平。我认为,恰恰相反,目前的性能与人类性能相差甚远,要实现这一目标需要我们在思维上进行一场革命。此外,有人断言,要实现这场革命,应该在基础研究上投入更多精力,而减少过早将有缺陷的技术商业化的尝试。