Prosodic, spectral or voice quality? Feature type relevance for the discrimination of emotion pairs
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: The role of prosody in affective speech, S. 285-307
- Bibliographic citation
-
Linguistic Insights ; 97
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2009
- Event
-
Veröffentlichung
- (where)
-
Frankfurt am Main
- (who)
-
Lang
- (when)
-
2009
- Creator
- Contributor
-
Hancil, Sylvie
- URN
-
urn:nbn:de:bvb:384-opus4-766128
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 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
- Schuller, Björn
- Wöllmer, Martin
- Eyben, Florian
- Rigoll, Gerhard
- Hancil, Sylvie
- Universität Augsburg
- Lang
Time of origin
- 2009
Other Objects (12)
Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Improving keyword spotting with a tandem BLSTM-DBN architecture
Spoken term detection with Connectionist Temporal Classification: a novel hybrid CTC-DBN decoder
Robust vocabulary independent keyword spotting with graphical models
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
Context-sensitive machine learning for intelligent human behavior analysis
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement
Beat-synchronous data-driven automatic chord labeling
Music thumbnailing incorporating harmony- and rhythm structure
Computational assessment of interest in speech - facing the real-life challenge
Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Improving keyword spotting with a tandem BLSTM-DBN architecture
Spoken term detection with Connectionist Temporal Classification: a novel hybrid CTC-DBN decoder
Robust vocabulary independent keyword spotting with graphical models
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
Context-sensitive machine learning for intelligent human behavior analysis
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement
Beat-synchronous data-driven automatic chord labeling
Music thumbnailing incorporating harmony- and rhythm structure
Computational assessment of interest in speech - facing the real-life challenge
Combining long short-term memory and dynamic Bayesian networks for incremental emotion-sensitive artificial listening
Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework
Improving keyword spotting with a tandem BLSTM-DBN architecture
Spoken term detection with Connectionist Temporal Classification: a novel hybrid CTC-DBN decoder
Robust vocabulary independent keyword spotting with graphical models
Static and dynamic modelling for the recognition of non-verbal vocalisations in conversational speech
A multitask approach to continuous five-dimensional affect sensing in natural speech
Context-sensitive machine learning for intelligent human behavior analysis
Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement
Beat-synchronous data-driven automatic chord labeling
Music thumbnailing incorporating harmony- and rhythm structure