- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Event
-
Veröffentlichung
- (where)
-
Nürnberg
- (who)
-
Technische Hochschule Nürnberg Georg Simon Ohm
- (when)
-
2023
- Creator
-
Murru, Roberto
Krug, Jonas
Schmid, Tom
Steba, Garri
Giacinto, Giorgio
von Hoffmann, Alexander
- DOI
-
10.34646/thn/ohmdok-1201
- URN
-
urn:nbn:de:bvb:92-opus4-12016
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:56 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
- Murru, Roberto
- Krug, Jonas
- Schmid, Tom
- Steba, Garri
- Giacinto, Giorgio
- von Hoffmann, Alexander
- Technische Hochschule Nürnberg Georg Simon Ohm
Time of origin
- 2023
Other Objects (12)
Emotion recognition using imperfect speech recognition
Semisupervised autoencoders for speech emotion recognition
Speech emotion recognition using semantic information
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Hidden Markov model-based speech emotion recognition
Deep speaker conditioning for speech emotion recognition
Towards distributed recognition of emotion from speech
Feature Transfer Learning for Speech Emotion Recognition
Emotion and mental state recognition from speech
Real-time automatic emotion recognition from speech
Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition
Improving speech emotion recognition via generative adversarial networks
Emotion recognition using imperfect speech recognition
Semisupervised autoencoders for speech emotion recognition
Speech emotion recognition using semantic information
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Hidden Markov model-based speech emotion recognition
Deep speaker conditioning for speech emotion recognition
Towards distributed recognition of emotion from speech
Feature Transfer Learning for Speech Emotion Recognition
Emotion and mental state recognition from speech
Real-time automatic emotion recognition from speech
Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition
Improving speech emotion recognition via generative adversarial networks
Emotion recognition using imperfect speech recognition
Semisupervised autoencoders for speech emotion recognition
Speech emotion recognition using semantic information
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Hidden Markov model-based speech emotion recognition
Deep speaker conditioning for speech emotion recognition
Towards distributed recognition of emotion from speech
Feature Transfer Learning for Speech Emotion Recognition
Emotion and mental state recognition from speech
Real-time automatic emotion recognition from speech
Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition