Deep learning for environmentally robust speech recognition: an overview of recent developments
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: ACM Transactions on Intelligent Systems and Technology, 9, 5, S. 49-
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2018
- Event
-
Veröffentlichung
- (where)
-
New York, NY
- (who)
-
Association for Computing Machinery (ACM)
- (when)
-
2018
- Creator
- DOI
-
10.1145/3178115
- URN
-
urn:nbn:de:bvb:384-opus4-717172
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 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
- Zhang, Zixing
- Geiger, Jürgen T.
- Pohjalainen, Jouni
- Mousa, Amr El-Desoky
- Jin, Wenyu
- Schuller, Björn
- Universität Augsburg
- Association for Computing Machinery (ACM)
Time of origin
- 2018
Other Objects (12)
Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis
Advanced data exploitation in speech analysis: an overview
Attention-augmented end-to-end multi-task learning for emotion prediction from speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Cooperative learning and its application to emotion recognition from speech
Reconstruction-error-based learning for continuous emotion recognition in speech
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Synthesized speech for model training in cross-corpus recognition of human emotion
Towards intoxicated speech recognition
Semisupervised autoencoders for speech emotion recognition
Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis
Advanced data exploitation in speech analysis: an overview
Attention-augmented end-to-end multi-task learning for emotion prediction from speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Cooperative learning and its application to emotion recognition from speech
Reconstruction-error-based learning for continuous emotion recognition in speech
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Synthesized speech for model training in cross-corpus recognition of human emotion
Towards intoxicated speech recognition
Semisupervised autoencoders for speech emotion recognition
Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis
Advanced data exploitation in speech analysis: an overview
Attention-augmented end-to-end multi-task learning for emotion prediction from speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Cooperative learning and its application to emotion recognition from speech
Reconstruction-error-based learning for continuous emotion recognition in speech
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Synthesized speech for model training in cross-corpus recognition of human emotion
Towards intoxicated speech recognition