| 英文摘要 |
We review the science and technology of spoken language processing. We first discuss the most successful approach to spoken language processing, namely the pattern recognition approach. We illustrate how sophisticate statistical modeling techniques can be used together with a large amount of spoken and written examples to design models for high performance spoken language systems. We then point out the current capabilities and limitations of spoken language systems. Finally we discuss research challenges to enhance the capabilities and reduce the limitations. |
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