Taking into account the user's focus of attention with the help of audio-visual information: towards less artificial human-machine-communication
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Auditory-Visual Speech Processing 2007 (AVSP2007), Hilvarenbeek, The Netherlands, August 31 - September 3, 2007, S. paper P15-
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2007
- Ereignis
-
Veröffentlichung
- (wer)
-
ISCA
- (wann)
-
2007
- Urheber
- URN
-
urn:nbn:de:bvb:384-opus4-696139
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Batliner, Anton
- Hacker, Christian
- Kaiser, Moritz
- Mögele, Hannes
- Nöth, Elmar
- Universität Augsburg
- ISCA
Entstanden
- 2007
Ähnliche Objekte (12)
How many speakers, how many texts - the automatic assessment of non-native prosody
How to repair speech repairs in an end-to-end system
The prediction of focus
How many labellers revisited: naïves, experts, and real experts
Islands of Failure: employing word accent information for pronunciation quality assessment of English L2 learners
How many labellers? Modelling inter-labeller agreement and system performance for the automatic assessment of non-native prosody
Phoneme-to-grapheme mapping for spoken inquiries to the semantic web
Pinpointing the difference - visual comparison of non-native speaker groups
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
User states, user strategies, and system performance: how to match the one with the other
Word accent and emotion
Prosodic models, automatic speech understanding, and speech synthesis: towards the common ground
How many speakers, how many texts - the automatic assessment of non-native prosody
How to repair speech repairs in an end-to-end system
The prediction of focus
How many labellers revisited: naïves, experts, and real experts
Islands of Failure: employing word accent information for pronunciation quality assessment of English L2 learners
How many labellers? Modelling inter-labeller agreement and system performance for the automatic assessment of non-native prosody
Phoneme-to-grapheme mapping for spoken inquiries to the semantic web
Pinpointing the difference - visual comparison of non-native speaker groups
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
User states, user strategies, and system performance: how to match the one with the other
Word accent and emotion
Prosodic models, automatic speech understanding, and speech synthesis: towards the common ground
How many speakers, how many texts - the automatic assessment of non-native prosody
How to repair speech repairs in an end-to-end system
The prediction of focus
How many labellers revisited: naïves, experts, and real experts
Islands of Failure: employing word accent information for pronunciation quality assessment of English L2 learners
How many labellers? Modelling inter-labeller agreement and system performance for the automatic assessment of non-native prosody
Phoneme-to-grapheme mapping for spoken inquiries to the semantic web
Pinpointing the difference - visual comparison of non-native speaker groups
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
User states, user strategies, and system performance: how to match the one with the other
Word accent and emotion