- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 3, S. 417-429
- Event
-
Veröffentlichung
- (where)
-
Augsburg, New York, NY
- (who)
-
Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
- (when)
-
2017
- Creator
- DOI
-
10.1109/tpami.2016.2554555
- URN
-
urn:nbn:de:bvb:384-opus4-720164
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
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
- Trigeorgis, George
- Bousmalis, Konstantinos
- Zafeiriou, Stefanos
- Schuller, Björn
- Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
Time of origin
- 2017
Other Objects (12)
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Bag-of-deep-features: noise-robust deep feature representations for audio analysis
Time-series clustering with jointly learning deep representations, clusters and temporal boundaries
Deep scalogram representations for acoustic scene classification
A deep semi-NMF model for learning hidden representations
Modelling sample informativeness for deep affective computing
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Reading the author and speaker: towards a holistic and deep approach on automatic assessment of what is in one’s words
Application of Deep Learning Methods in Computational Paralinguistics
Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion
Intelligent audio analysis
Discrimination of speech and non-linguistic vocalizations by non-negative matrix factorization
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Bag-of-deep-features: noise-robust deep feature representations for audio analysis
Time-series clustering with jointly learning deep representations, clusters and temporal boundaries
Deep scalogram representations for acoustic scene classification
A deep semi-NMF model for learning hidden representations
Modelling sample informativeness for deep affective computing
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Reading the author and speaker: towards a holistic and deep approach on automatic assessment of what is in one’s words
Application of Deep Learning Methods in Computational Paralinguistics
Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion
Intelligent audio analysis
Discrimination of speech and non-linguistic vocalizations by non-negative matrix factorization
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Bag-of-deep-features: noise-robust deep feature representations for audio analysis
Time-series clustering with jointly learning deep representations, clusters and temporal boundaries
Deep scalogram representations for acoustic scene classification
A deep semi-NMF model for learning hidden representations
Modelling sample informativeness for deep affective computing
Multi-task deep neural network with shared hidden layers: breaking down the wall between emotion representations
Reading the author and speaker: towards a holistic and deep approach on automatic assessment of what is in one’s words
Application of Deep Learning Methods in Computational Paralinguistics
Mensch, Maschine, Emotion : Erkennung aus sprachlicher und manueller Interaktion
Intelligent audio analysis