Towards a standard set of acoustic features for the processing of emotion in speech
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Proceedings of Meetings on Acoustics, 9, 1, S. 060006-
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2010
- Event
-
Veröffentlichung
- (where)
-
Lancaster, Pa.
- (who)
-
Am. Inst. of Physics
- (when)
-
2010
- Creator
- DOI
-
10.1121/1.4739483
- URN
-
urn:nbn:de:bvb:384-opus4-690535
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Eyben, Florian
- Batliner, Anton
- Schuller, Björn
- Universität Augsburg
- Am. Inst. of Physics
Time of origin
- 2010
Other Objects (12)
On laughter and speech-laugh, based on observations of child-robot interaction
Specification of suitable parameters for emotion perception and definition of API for later integration
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Emotion recognition using imperfect speech recognition
CCA based feature selection with application to continuous depression recognition from acoustic speech features
Single-channel speech separation with memory-enhanced recurrent neural networks
A multitask approach to continuous five-dimensional affect sensing in natural speech
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
openSMILE:): the Munich open-source large-scale multimedia feature extractor
Does affect affect automatic recognition of children's speech?
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
On laughter and speech-laugh, based on observations of child-robot interaction
Specification of suitable parameters for emotion perception and definition of API for later integration
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Emotion recognition using imperfect speech recognition
CCA based feature selection with application to continuous depression recognition from acoustic speech features
Single-channel speech separation with memory-enhanced recurrent neural networks
A multitask approach to continuous five-dimensional affect sensing in natural speech
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
openSMILE:): the Munich open-source large-scale multimedia feature extractor
Does affect affect automatic recognition of children's speech?
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
On laughter and speech-laugh, based on observations of child-robot interaction
Specification of suitable parameters for emotion perception and definition of API for later integration
More than fifty years of speech and language processing - the rise of computational paralinguistics and ethical demands
Emotion recognition using imperfect speech recognition
CCA based feature selection with application to continuous depression recognition from acoustic speech features
Single-channel speech separation with memory-enhanced recurrent neural networks
A multitask approach to continuous five-dimensional affect sensing in natural speech
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
openSMILE:): the Munich open-source large-scale multimedia feature extractor
Does affect affect automatic recognition of children's speech?