DocumentCode :
11086
Title :
TechWare: Spoken Language Understanding Resources [Best of the Web]
Author :
Tur, Gokhan ; Ye-Yi Wang ; Hakkani-Tur, Dilek
Author_Institution :
Conversational Syst. Res. Center, Microsoft Res., Mountain View, CA, USA
Volume :
30
Issue :
3
fYear :
2013
fDate :
May-13
Firstpage :
187
Lastpage :
189
Abstract :
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].
Keywords :
natural language processing; speech processing; SLU tasks; TechWare; human speech understanding; human-human conversation understanding; human-human-machine interactions; natural language processing; speech processing; speech recognition; speech synthesis; spoken language understanding resources; Languages; Natural language processing; Web sites;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2013.2241313
Filename :
6494691
Link To Document :
بازگشت