In this issue, "Best of the Web" focuses on spoken language understanding (SLU), an emerging field in between the areas of speech processing and natural language processing. Since SLU is not a single stand-alone technology, unlike speech recognition or synthesis, it is hard to present a single application. The term spoken language understanding has largely been coined for targeted understanding of human speech directed at machines, although understanding human/human conversations or even human/human/machine interactions are vibrant areas of research. For a more comprehensive survey of SLU tasks, readers are referred to [1]. © 1991-2012 IEEE.
CITATION STYLE
Tur, G., Wang, Y. Y., & Hakkani-Tür, D. (2013). TechWare: Spoken language understanding resources. IEEE Signal Processing Magazine, 30(3), 187–189. https://doi.org/10.1109/MSP.2013.2241313
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