Ingo Siegert
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Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements
I Siegert, R Böck, A Wendemuth
Journal on Multimodal User Interfaces 8, 17-28, 2014
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins
I Siegert, R Böck, B Vlasenko, D Philippou-Hübner, A Wendemuth
2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011
Vowels formants analysis allows straightforward detection of high arousal emotions
B Vlasenko, D Philippou-Hübner, D Prylipko, R Böck, I Siegert, ...
2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011
Analysis of significant dialog events in realistic human–computer interaction
D Prylipko, D Rösner, I Siegert, S Günther, R Friesen, M Haase, ...
Journal on Multimodal User Interfaces 8, 75-86, 2014
Towards emotion and affect detection in the multimodal LAST MINUTE corpus
J Frommer, B Michaelis, D Rösner, A Wendemuth, R Friesen, M Haase, ...
Proceedings of the International Conference on Language Resources and …, 2012
Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech
I Siegert, D Philippou-Hübner, K Hartmann, R Böck, A Wendemuth
Cognitive Computation 6 (4), 892-913, 2014
Comparative study on normalisation in emotion recognition from speech
R Böck, O Egorow, I Siegert, A Wendemuth
Intelligent Human Computer Interaction: 9th International Conference, IHCI …, 2017
Three's a Crowd? Effects of a Second Human on Vocal Accommodation with a Voice Assistant.
E Raveh, I Siegert, I Steiner, I Gessinger, B Möbius
INTERSPEECH, 4005-4009, 2019
Measuring the impact of audio compression on the spectralquality of speech data
I Siegert, AF Lotz, LL Duong, A Wendemuth
Elektronische Sprachsignalverarbeitung 81, 229–236, 2016
ikannotate – a tool for labelling, transcription, and annotation of emotionally coloured speech
R Böck, I Siegert, M Haase, J Lange, A Wendemuth
Affective Computing and Intelligent Interaction 6974, 25-34, 2011
Women, be aware that your vocal charisma can dwindle in remote meetings
I Siegert, O Niebuhr
Frontiers in Communication 5, 135, 2020
Fusion of Fragmentary Classifier Decisions for Affective State Recognition
G Krell, M Glodek, A Panning, I Siegert, B Michaelis, A Wendemuth, ...
Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2013
Comparing phonetic changes in computer-directed and human-directed speech
E Raveh, I Steiner, I Siegert, I Gessinger, B Möbius
Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung …, 2019
Personal data protection and academia: GDPR issues and multi-modal data-collections
I Siegert, VS Varod, N Carmi, P Kamocki
Online Journal of Applied Knowledge Management (OJAKM) 8 (1), 16-31, 2020
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition
I Siegert, R Böck, A Wendemuth
Computer Speech & Language 51, 1-23, 2018
Emotion detection in HCI: from speech features to emotion space
K Hartmann, I Siegert, D Philippou-Hübner, A Wendemuth
IFAC Proceedings Volumes 46 (15), 288-295, 2013
Multimodal affect recognition in spontaneous HCI environment
A Panning, I Siegert, A Al-Hamadi, A Wendemuth, D Rösner, J Frommer, ...
2012 IEEE International Conference on Signal Processing, Communication and …, 2012
Overlapping speech, utterance duration and affective content in HHI and HCI-An comparison
I Siegert, R Bock, A Wendemuth, B Vlasenko, K Ohnemus
2015 6th IEEE International Conference on Cognitive Infocommunications …, 2015
How do we speak with ALEXA: Subjective and objective assessments of changes in speaking style between HC and HH conversations
I Siegert, J Krüger
Kognitive Systeme 2018 (1), 2018
“Speech Melody and Speech Content Didn’t Fit Together”—Differences in Speech Behavior for Device Directed and Human Directed Interactions
I Siegert, J Krüger
Advances in Data Science: Methodologies and Applications, 65-95, 2021
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