Unsupervised representation learning with attention and sequence to sequence autoencoders to predict sleepiness from speech
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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In: MM '20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, Seattle, WA, USA, 16 October 2020, S. 11-17
- Event
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Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
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2020
- Event
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Veröffentlichung
- (where)
-
New York, NY
- (who)
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ACM
- (when)
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2020
- Creator
- Contributor
- DOI
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10.1145/3423327.3423670
- URN
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urn:nbn:de:bvb:384-opus4-916779
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
2025-03-25T13:50:55+0100
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
- Amiriparian, Shahin
- Winokurow, Pawel
- Karas, Vincent
- Ottl, Sandra
- Gerczuk, Maurice
- Schuller, Björn
- Lefter, Iulia
- Cambria, Erik
- Kompatsiaris, Ioannis (Yiannis)
- Stappen, Lukas
- Universität Augsburg
- ACM
Time of origin
- 2020
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Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio
A Generalized Approach to Radiometric
Sequence Learning for OCR in Unsupervised Training Cases
Men eat on Mars, Women on Venus? An Empirical Study of Food-Images
Neural sequence-to-sequence models for low-resource morphology
Neural sequence-to-sequence modeling for language and speech translation
On using 2D sequence-to-sequence models for speech recognition
An overview & analysis of sequence-to-sequence emotional voice conversion
From speech to facial activity: towards cross-modal sequence-to-sequence attention networks
An overview of LCS research from 2021 to 2022
ACM guide to computing literature, 1983
ACM guide to computing literature, 1985
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio
A Generalized Approach to Radiometric
Sequence Learning for OCR in Unsupervised Training Cases
Men eat on Mars, Women on Venus? An Empirical Study of Food-Images
Neural sequence-to-sequence models for low-resource morphology
Neural sequence-to-sequence modeling for language and speech translation
On using 2D sequence-to-sequence models for speech recognition
An overview & analysis of sequence-to-sequence emotional voice conversion
From speech to facial activity: towards cross-modal sequence-to-sequence attention networks