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![]( "Buchcover ISBN 9781119992707")
„The book also contains references to existing datasetsthat can be used by researchers interested in the field; these, together with the presented baseline, equip one with the necessarytools to step into this very daring and fascinatingdomain.“ (Zentralblatt MATH, 2012)
Spoken Language Understanding
Systems for Extracting Semantic Information from Speech
von Gokhan Tur und Renato De MoriSpoken language understanding (SLU) is an emerging field in betweenspeech and language processing, investigating human/ machine andhuman/ human communication by leveraging technologies from signalprocessing, pattern recognition, machine learning and artificialintelligence. SLU systems are designed to extract the meaning fromspeech utterances and its applications are vast, from voice searchin mobile devices to meeting summarization, attracting interestfrom both commercial and academic sectors.
Both human/machine and human/human communications can benefitfrom the application of SLU, using differing tasks and approachesto better understand and utilize such communications. This bookcovers the state-of-the-art approaches for the most popular SLUtasks with chapters written by well-known researchers in therespective fields. Key features include:
* Presents a fully integrated view of the two distinctdisciplines of speech processing and language processing for SLUtasks.
* Defines what is possible today for SLU as an enablingtechnology for enterprise (e. g., customer care centers or companymeetings), and consumer (e. g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key researchareas.
* Provides a unique source of distilled information on methodsfor computer modeling of semantic information in human/machine andhuman/human conversations.
This book can be successfully used for graduate courses inelectronics engineering, computer science or computationallinguistics. Moreover, technologists interested in processingspoken communications will find it a useful source of collatedinformation of the topic drawn from the two distinct disciplines ofspeech processing and language processing under the new area ofSLU.
Both human/machine and human/human communications can benefitfrom the application of SLU, using differing tasks and approachesto better understand and utilize such communications. This bookcovers the state-of-the-art approaches for the most popular SLUtasks with chapters written by well-known researchers in therespective fields. Key features include:
* Presents a fully integrated view of the two distinctdisciplines of speech processing and language processing for SLUtasks.
* Defines what is possible today for SLU as an enablingtechnology for enterprise (e. g., customer care centers or companymeetings), and consumer (e. g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key researchareas.
* Provides a unique source of distilled information on methodsfor computer modeling of semantic information in human/machine andhuman/human conversations.
This book can be successfully used for graduate courses inelectronics engineering, computer science or computationallinguistics. Moreover, technologists interested in processingspoken communications will find it a useful source of collatedinformation of the topic drawn from the two distinct disciplines ofspeech processing and language processing under the new area ofSLU.
