Predicting continuous stress ratings of multiple labellers from physiological signals
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Analysis of biomedical signals and images: 19-th International EURASIP Conference Biosignal 2008, S.
- Klassifikation
-
Wirtschaft
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg, Brno
- (wer)
-
Universität Augsburg, Univ. of Technology [u.a.]
- (wann)
-
2008
- Urheber
- Beteiligte Personen und Organisationen
-
Jan, Jiří
- URN
-
urn:nbn:de:bvb:384-opus4-707558
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
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
- Hönig, Florian
- Batliner, Anton
- Eskofier, B.
- Nöth, Elmar
- Jan, Jiří
- Universität Augsburg, Univ. of Technology [u.a.]
Entstanden
- 2008
Ähnliche Objekte (12)
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
Real-time recognition of the affective user state with physiological signals
Fast recursive data-driven multi-resolution feature extraction for physiological signal classification
Classification of user states with physiological signals: on-line generic features vs. specialized feature sets
How many labellers revisited: naïves, experts, and real experts
Die prosodische Markierung des Satzmodus in der Spontansprache - Methodologie und erste Ergebnisse
Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features
The prediction of focus
How many speakers, how many texts - the automatic assessment of non-native prosody
Associating children's non-verbal and verbal behaviour: body movements, emotions, and laughter in a human-robot interaction
How to repair speech repairs in an end-to-end system
Zur Klassifikation von Fragen und Nicht-Fragen anhand intonatorischer Merkmale
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
Real-time recognition of the affective user state with physiological signals
Fast recursive data-driven multi-resolution feature extraction for physiological signal classification
Classification of user states with physiological signals: on-line generic features vs. specialized feature sets
How many labellers revisited: naïves, experts, and real experts
Die prosodische Markierung des Satzmodus in der Spontansprache - Methodologie und erste Ergebnisse
Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features
The prediction of focus
How many speakers, how many texts - the automatic assessment of non-native prosody
Associating children's non-verbal and verbal behaviour: body movements, emotions, and laughter in a human-robot interaction
How to repair speech repairs in an end-to-end system
Zur Klassifikation von Fragen und Nicht-Fragen anhand intonatorischer Merkmale
Prosody and automatic speech recognition: why not yet a Success Story and where to go from here
Real-time recognition of the affective user state with physiological signals
Fast recursive data-driven multi-resolution feature extraction for physiological signal classification
Classification of user states with physiological signals: on-line generic features vs. specialized feature sets
How many labellers revisited: naïves, experts, and real experts
Die prosodische Markierung des Satzmodus in der Spontansprache - Methodologie und erste Ergebnisse
Does it groove or does it stumble: automatic classification of alcoholic intoxication using prosodic features
The prediction of focus
How many speakers, how many texts - the automatic assessment of non-native prosody
Associating children's non-verbal and verbal behaviour: body movements, emotions, and laughter in a human-robot interaction
How to repair speech repairs in an end-to-end system