Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 20-25 March 2016, Shanghai, China, S. 5800-5804
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2016
- Ereignis
-
Veröffentlichung
- (wo)
-
Piscataway, NJ
- (wer)
-
IEEE
- (wann)
-
2016
- Urheber
- DOI
-
10.1109/icassp.2016.7472789
- URN
-
urn:nbn:de:bvb:384-opus4-720320
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
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
- Sagha, Hesam
- Deng, Jun
- Gavryukova, Maryna
- Han, Jing
- Schuller, Björn
- Universität Augsburg
- IEEE
Entstanden
- 2016
Ähnliche Objekte (12)
Cluster Preface: Biomimetic Synthesis
Facing realism in spontaneous emotion recognition from speech: feature enhancement by autoencoder with LSTM neural networks
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
The Diagnostic Potential of the L Score for ABO Hemolytic Disease of the Newborn: Insights from a Cross-Sectional Study
The university of passau open emotion recognition system for the multimodal emotion challenge
Analysis of the cancer genome atlas (TCGA) database identifies an inverse relationship between interleukin-13 receptor α1 and α2 gene expression and poor prognosis and drug resistance in subjects with glioblastoma multiforme
COVID-19 related neurological manifestations in Parkinson’s disease: has ferroptosis been a suspect?
Connecting subspace learning and extreme learning machine in speech emotion recognition
Mitochondrial genomes of soft scales (Hemiptera: Coccidae): features, structures and significance
Numerical investigation on fluid-thermal-electric performance of a thermoelectric-integrated helically coiled tube heat exchanger for coal mine air cooling
Feature Transfer Learning for Speech Emotion Recognition
Clinical advances and challenges in targeting FGF/FGFR signaling in lung cancer
Cluster Preface: Biomimetic Synthesis
Facing realism in spontaneous emotion recognition from speech: feature enhancement by autoencoder with LSTM neural networks
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
The Diagnostic Potential of the L Score for ABO Hemolytic Disease of the Newborn: Insights from a Cross-Sectional Study
The university of passau open emotion recognition system for the multimodal emotion challenge
Analysis of the cancer genome atlas (TCGA) database identifies an inverse relationship between interleukin-13 receptor α1 and α2 gene expression and poor prognosis and drug resistance in subjects with glioblastoma multiforme
COVID-19 related neurological manifestations in Parkinson’s disease: has ferroptosis been a suspect?
Connecting subspace learning and extreme learning machine in speech emotion recognition
Mitochondrial genomes of soft scales (Hemiptera: Coccidae): features, structures and significance
Numerical investigation on fluid-thermal-electric performance of a thermoelectric-integrated helically coiled tube heat exchanger for coal mine air cooling
Feature Transfer Learning for Speech Emotion Recognition
Clinical advances and challenges in targeting FGF/FGFR signaling in lung cancer
Cluster Preface: Biomimetic Synthesis
Facing realism in spontaneous emotion recognition from speech: feature enhancement by autoencoder with LSTM neural networks
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
The Diagnostic Potential of the L Score for ABO Hemolytic Disease of the Newborn: Insights from a Cross-Sectional Study
The university of passau open emotion recognition system for the multimodal emotion challenge
Analysis of the cancer genome atlas (TCGA) database identifies an inverse relationship between interleukin-13 receptor α1 and α2 gene expression and poor prognosis and drug resistance in subjects with glioblastoma multiforme
COVID-19 related neurological manifestations in Parkinson’s disease: has ferroptosis been a suspect?
Connecting subspace learning and extreme learning machine in speech emotion recognition
Mitochondrial genomes of soft scales (Hemiptera: Coccidae): features, structures and significance
Numerical investigation on fluid-thermal-electric performance of a thermoelectric-integrated helically coiled tube heat exchanger for coal mine air cooling
Feature Transfer Learning for Speech Emotion Recognition