- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Interspeech 2022, Incheon, Korea, 18-22 September 2022, S. 4915-4919
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2022
- Event
-
Veröffentlichung
- (where)
-
Baixas
- (who)
-
ISCA
- (when)
-
2022
- Creator
- Contributor
-
Ko, Hanseok
Hansen, John H. L.
- DOI
-
10.21437/interspeech.2022-10636
- URN
-
urn:nbn:de:bvb:384-opus4-992886
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 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
- Yang, Zijiang
- Jing, Xin
- Triantafyllopoulos, Andreas
- Song, Meishu
- Aslan, Ilhan
- Schuller, Björn
- Ko, Hanseok
- Hansen, John H. L.
- Universität Augsburg
- ISCA
Time of origin
- 2022
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Deep bidirectional long short-term memory recurrent neural networks for grapheme-to-phoneme conversion utilizing complex many-to-many alignments
An improved StarGAN for emotional voice conversion: enhancing voice quality and data augmentation
The prediction of focus
Exploring the benefits of discretization of acoustic features for speech emotion recognition
How many speakers, how many texts - the automatic assessment of non-native prosody
Using prosodic features to characterize off-talk in human-computer interaction
How many labellers revisited: naïves, experts, and real experts
How to repair speech repairs in an end-to-end system
Cross-domain classification of drowsiness in speech: the case of alcohol intoxication and sleep deprivation
At the border of acoustics and linguistics: bag-of-audio-words for the recognition of emotions in speech
Towards intelligent crowdsourcing for audio data annotation: integrating active learning in the real world
Automatic analysis of typical and atypical encoding of spontaneous emotion in the voice of children
Deep bidirectional long short-term memory recurrent neural networks for grapheme-to-phoneme conversion utilizing complex many-to-many alignments
An improved StarGAN for emotional voice conversion: enhancing voice quality and data augmentation
The prediction of focus
Exploring the benefits of discretization of acoustic features for speech emotion recognition
How many speakers, how many texts - the automatic assessment of non-native prosody
Using prosodic features to characterize off-talk in human-computer interaction
How many labellers revisited: naïves, experts, and real experts
How to repair speech repairs in an end-to-end system
Cross-domain classification of drowsiness in speech: the case of alcohol intoxication and sleep deprivation
At the border of acoustics and linguistics: bag-of-audio-words for the recognition of emotions in speech
Towards intelligent crowdsourcing for audio data annotation: integrating active learning in the real world