Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jörg Spilker"'
Autor:
Jörg Spilker
Publikováno v:
Business Continuity Management in der Praxis ISBN: 9783503209613
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c790d68ddef0568e819a07bd4ddb07c
https://doi.org/10.37307/b.978-3-503-20961-3.05
https://doi.org/10.37307/b.978-3-503-20961-3.05
Automatic dialogue systems used, for instance, in call centers, should be able to determine in a critical phase of the dialogue-indicated by the customers vocal expression of anger/irritation-when it is better to pass over to a human operator. At a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb0a0d7950c445dbfca6e2f6b912ed6
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/66768
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/66768
Publikováno v:
COLING
The German joint research project Verbmobil (VM) aims at the development of a speech to speech translation system. This paper reports on research done in our group which belongs to Verbmobil's subproject on system architectures (TP15). Our specific r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01462231924e3c4b326f9c90e606c70a
Publikováno v:
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..
In this paper we want to show how n-gram language models can be used to provide additional information in automatic speech understanding systems beyond the pure word chain. This becomes important in the context of conversational dialogue systems that
Publikováno v:
Artificial Intelligence ISBN: 9783642087301
To detect emotional user behavior, particularly anger, can be very useful for successful automatic dialog processing. We present databases and prosodic classifiers implemented for the recognition of emotion in Verbmobil. Using a prosodic feature vect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb10827a57c1d060ff451e7adb96f3f
https://doi.org/10.1007/978-3-662-04230-4_9
https://doi.org/10.1007/978-3-662-04230-4_9
Publikováno v:
Artificial Intelligence ISBN: 9783642087301
This chapter describes measures implemented in the semantics module to ensure that best use is made of the available linguistic analyses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dbb27ba4ce9eb6ea37b680e1f9d01b
https://doi.org/10.1007/978-3-662-04230-4_22
https://doi.org/10.1007/978-3-662-04230-4_22
Publikováno v:
COLING
Speech repairs occur often in spontaneous spoken dialogues. The ability to detect and correct those repairs is necessary for any spoken language system. We present a framework to detect and correct speech repairs where all relevant levels of informat
Publikováno v:
Artificial Intelligence ISBN: 9783642087301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::740047387e5b443c294a6419fd42a9eb
https://doi.org/10.1007/978-3-662-04230-4_10
https://doi.org/10.1007/978-3-662-04230-4_10
Publikováno v:
6th European Conference on Speech Communication and Technology (Eurospeech 1999).
Publikováno v:
Machine Conversations ISBN: 9781441950925
Verbmobil1 is a large German joint research project in the area spontaneous speech-to-speech translation systems which is sponsored by the German Federal Ministry for Research and Education. In its first phase (1992–1996) ca. 30 research groups in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72eacace53eeea234a6045402f015581
https://doi.org/10.1007/978-1-4757-5687-6_4
https://doi.org/10.1007/978-1-4757-5687-6_4