Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: 2014 22nd International Conference on Pattern Recognition, 24-28 August 2014, Stockholm, Sweden, S. 761-766
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg, Piscataway, NJ
- (wer)
-
Universität Augsburg, IEEE
- (wann)
-
2014
- Urheber
- Beteiligte Personen und Organisationen
-
Borga, Magnus
Heyden, Anders
Laurendeau, Denis
Felsberg, Michael
- DOI
-
10.1109/ICPR.2014.141
- URN
-
urn:nbn:de:bvb:384-opus4-770232
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 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
- Deng, Jun
- Zhang, Zixing
- Schuller, Björn
- Borga, Magnus
- Heyden, Anders
- Laurendeau, Denis
- Felsberg, Michael
- Universität Augsburg, IEEE
Entstanden
- 2014
Ähnliche Objekte (12)
Distributing recognition in computational paralinguistics
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Cooperative learning and its application to emotion recognition from speech
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Universum autoencoder-based domain adaptation for speech emotion recognition
Semisupervised autoencoders for speech emotion recognition
Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition
Exploitation of phase-based features for whispered speech emotion recognition
Cluster Preface: Biomimetic Synthesis
Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes
Distributing recognition in computational paralinguistics
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Cooperative learning and its application to emotion recognition from speech
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Universum autoencoder-based domain adaptation for speech emotion recognition
Semisupervised autoencoders for speech emotion recognition
Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition
Exploitation of phase-based features for whispered speech emotion recognition
Cluster Preface: Biomimetic Synthesis
Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes
Distributing recognition in computational paralinguistics
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Cooperative learning and its application to emotion recognition from speech
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Universum autoencoder-based domain adaptation for speech emotion recognition
Semisupervised autoencoders for speech emotion recognition
Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition
Exploitation of phase-based features for whispered speech emotion recognition
Cluster Preface: Biomimetic Synthesis