Introduction to the special issue on paralinguistics in naturalistic speech and language
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Computer Speech and Language, 27, 1, S. 1-3
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg, Amsterdam [u.a.]
- (wer)
-
Universität Augsburg, Elsevier
- (wann)
-
2013
- Urheber
- DOI
-
10.1016/j.csl.2012.06.002
- URN
-
urn:nbn:de:bvb:384-opus4-701036
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 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
- Schuller, Björn
- Steidl, Stefan
- Batliner, Anton
- Universität Augsburg, Elsevier
Entstanden
- 2013
Ähnliche Objekte (12)
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Introduction to the special issue on sensing emotion and affect – facing realism in speech processing
Guest editorial: special section on naturalistic affect resources for system building and evaluation
Does affect affect automatic recognition of children's speech?
On laughter and speech-laugh, based on observations of child-robot interaction
Towards a standard set of acoustic features for the processing of emotion in speech
Ethics for crowdsourced corpus collection, data annotation and its application in the web-based game iHEARu-PLAY
Emotion recognition from speech: putting ASR in the loop
Segmenting into adequate units for automatic recognition of emotion-related episodes: a speech-based approach
Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge
Towards more reality in the recognition of emotional speech
The effect of music in anxiety reduction: a psychological and physiological assessment
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Introduction to the special issue on sensing emotion and affect – facing realism in speech processing
Guest editorial: special section on naturalistic affect resources for system building and evaluation
Does affect affect automatic recognition of children's speech?
On laughter and speech-laugh, based on observations of child-robot interaction
Towards a standard set of acoustic features for the processing of emotion in speech
Ethics for crowdsourced corpus collection, data annotation and its application in the web-based game iHEARu-PLAY
Emotion recognition from speech: putting ASR in the loop
Segmenting into adequate units for automatic recognition of emotion-related episodes: a speech-based approach
Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge
Towards more reality in the recognition of emotional speech
The effect of music in anxiety reduction: a psychological and physiological assessment
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Introduction to the special issue on sensing emotion and affect – facing realism in speech processing
Guest editorial: special section on naturalistic affect resources for system building and evaluation
Does affect affect automatic recognition of children's speech?
On laughter and speech-laugh, based on observations of child-robot interaction
Towards a standard set of acoustic features for the processing of emotion in speech
Ethics for crowdsourced corpus collection, data annotation and its application in the web-based game iHEARu-PLAY
Emotion recognition from speech: putting ASR in the loop
Segmenting into adequate units for automatic recognition of emotion-related episodes: a speech-based approach
Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge
Towards more reality in the recognition of emotional speech