Hochschulschrift
Effective Speech Features for Cognitive Load Assessment: Classification and Regression
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
In: http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-114835
Chemnitz, Technische Universität Chemnitz, Dissertation, 2018
- Bibliographic citation
-
Wissenschaftliche Schriftenreihe Dissertationen der Medieninformatik ; Band 9
- Keyword
-
Sprachverarbeitung
Kognitive Lerntheorie
Arbeitsgedächtnis
Kognitiver Prozess
Belastung
Sprachdaten
Korpus
Merkmalsextraktion
Sprachqualität
Maschinelles Lernen
Signalverarbeitung
Sprachverarbeitung
Maschinelles Lernen
- Event
-
Veröffentlichung
- (where)
-
Chemnitz, Chemnitz
- (who)
-
Universitätsverlag Chemnitz, Technische Universität Chemnitz
- (when)
-
2019
- Creator
- Contributor
-
Eibl, Maximilian
Eibl, Maximilian
Rey, Günter Daniel
- URN
-
urn:nbn:de:bsz:ch1-qucosa2-333464
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:47 PM CET
Data provider
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Object type
- Hochschulschrift
Associated
- Herms, Robert
- Eibl, Maximilian
- Rey, Günter Daniel
- Universitätsverlag Chemnitz, Technische Universität Chemnitz
Time of origin
- 2019
Other Objects (12)
Effective speech features for cognitive load assessment: classification and regression
Acoustic feature combination for speech recognition
Articulatory features for conversational speech recognition
Cluster regularization via a hierarchical feature regression
Enhancing spontaneous speech recognition with BLSTM features
Discriminative feature modeling for statistical speech recognition
Feature Transfer Learning for Speech Emotion Recognition
Evaluating Cognitive Load of Text-To-Speech (TTS) synthesis
Load shedding in complex event processing with probabilistic features
Classification, regression, and feature selection on matrix data
Transmission error robust speech recognition using soft features
Transmission error robust speech recognition using soft features
Effective speech features for cognitive load assessment: classification and regression
Acoustic feature combination for speech recognition
Articulatory features for conversational speech recognition
Cluster regularization via a hierarchical feature regression
Enhancing spontaneous speech recognition with BLSTM features
Discriminative feature modeling for statistical speech recognition
Feature Transfer Learning for Speech Emotion Recognition
Evaluating Cognitive Load of Text-To-Speech (TTS) synthesis
Load shedding in complex event processing with probabilistic features
Classification, regression, and feature selection on matrix data
Transmission error robust speech recognition using soft features
Transmission error robust speech recognition using soft features
Effective speech features for cognitive load assessment: classification and regression
Acoustic feature combination for speech recognition
Articulatory features for conversational speech recognition
Cluster regularization via a hierarchical feature regression
Enhancing spontaneous speech recognition with BLSTM features
Discriminative feature modeling for statistical speech recognition
Feature Transfer Learning for Speech Emotion Recognition
Evaluating Cognitive Load of Text-To-Speech (TTS) synthesis
Load shedding in complex event processing with probabilistic features
Classification, regression, and feature selection on matrix data
Transmission error robust speech recognition using soft features