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ORCIDIngo Siegert
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- affiliation: Otto von Guericke University Magdeburg
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2020 – today
- 2024
[c54]Matthias Busch, Robin Ibs, Ingo Siegert:
Embarking on Inclusive Voice User Interfaces: Initial Steps in Exploring Technology Integration Within the Seminar 'AI and Educational Sciences'. HCI (13) 2024: 35-50- [c53]Ingo Siegert, Ahmad Al-Hamad, Katharina Maria Pongratz, Matthias Busch:
Development of an Automated, Rule-Based Measurement Method for Easy Language and Its Application to AI-Generated Texts. HCI (62) 2024: 234-244 - [c52]Jan Hintz, Jacob Rühe, Ingo Siegert:
AnonEmoFace: Emotion Preserving Facial Anonymization. ICISSP 2024: 785-788 - [c51]Matthias Busch, Katharina Maria Pongratz, Olaf Dörner, Ingo Siegert:
Participative Co-Design for inclusive AI: Challenges and Initial Steps for the Development of Inclusive Voice User Interfaces. MuC (Workshopband) 2024 - 2023
- [c50]Ingo Siegert, Stefan Hillmann
, Philline T. Görzig, Matthias Busch, Jan Nehring, Xenia Klinge:
Die Chatbot-Challenge - Spielend mit KI von der Idee zum Dialogsystem. GI-Jahrestagung 2023: 377-380 - [c49]Sebastian Lang, Ingo Siegert, Viktor Artiushenko, Johannes Schleiss:
AI Engineering als interdisziplinäres Einführungsmodul zwischen Künstlicher Intelligenz und Ingenieurwesen. GI-Jahrestagung 2023: 381-384 - [c48]Matthias Busch, Felix Böhm, Ingo Siegert:
"What Can I Study at OVGU?" - An Analysis of the Applicability of Conversational Voice Assistants in Student Advisory Service. HCI (42) 2023: 144-155 - [c47]Matthias Haase, Julia Krüger, Ingo Siegert:
User Perspective on Anonymity in Voice Assistants. HCI (42) 2023: 156-166 - [c46]Ingo Siegert, Matthias Busch, Susanne Metzner, Julia Krüger:
Voice Assistants for Therapeutic Support - A Literature Review. HCI (42) 2023: 221-239 - [c45]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. INTERSPEECH 2023: 2093-2097 - [c44]Arnab Das, Suhita Ghosh, Tim Polzehl, Ingo Siegert, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. SSW 2023: 81-87 - [i2]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. CoRR abs/2309.07586 (2023) - [i1]Suhita Ghosh, Yamini Sinha, Ingo Siegert, Sebastian Stober:
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses. CoRR abs/2309.08263 (2023) - 2022
- [j9]Ingo Siegert, Stefan Hillmann, Benjamin Weiss, Jessica M. Szczuka, Alexey Karpov:
Editorial: Towards Omnipresent and Smart Speech Assistants. Frontiers Comput. Sci. 4 (2022) - [j8]Ingo Siegert, Norman Weißkirchen, Andreas Wendemuth:
Acoustic-Based Automatic Addressee Detection for Technical Systems: A Review. Frontiers Comput. Sci. 4 (2022) - [c43]Ingo Siegert, Matthias Busch, Susanne Metzner, Florian Junne, Julia Krüger:
Music-Guided Imagination and Digital Voice Assistant - Study Design and First Results on the Application of Voice Assistants for Music-Guided Stress Reduction. HCI (36) 2022: 347-362 - [c42]Denis Dresvyanskiy, Yamini Sinha, Matthias Busch, Ingo Siegert, Alexey Karpov, Wolfgang Minker:
DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings. SPECOM 2022: 163-177 - 2021
- [j7]Ingo Siegert, Norman Weißkirchen, Julia Krüger, Oleg Akhtiamov, Andreas Wendemuth:
Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. Cogn. Syst. Res. 70: 65-79 (2021) - [c41]Ingo Siegert:
Effects of Prosodic Variations on Accidental Triggers of a Commercial Voice Assistant. Interspeech 2021: 1674-1678 - 2020
- [j6]Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, Wolfgang Minker:
Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems. Sensors 20(9): 2740 (2020) - [c40]Felix Böhm, Ingo Siegert, Alexander Belyaev, Christian Diedrich:
An Analysis of the Applicability of VoiceXML as Basis for a Dialog Control Flow in Industrial Interaction Management. ETFA 2020: 30-37 - [c39]Norman Weißkirchen, Mainampati Vasudeva Reddy, Andreas Wendemuth, Ingo Siegert:
Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech. ICHMS 2020: 1-6 - [c38]Ingo Siegert:
"Alexa in the wild" - Collecting Unconstrained Conversations with a Modern Voice Assistant in a Public Environment. LREC 2020: 615-619 - [c37]Timo Baumann, Ingo Siegert:
Prosodic addressee-detection: ensuring privacy in always-on spoken dialog systems. MuC 2020: 195-198 - [c36]Nirayo Hailu Gebreegziabher, Ingo Siegert, Andreas Nürnberger:
Improving Automatic Speech Recognition Utilizing Audio-codecs for Data Augmentation. MMSP 2020: 1-5 - [c35]Ingo Siegert, Yamini Sinha, Oliver Jokisch, Andreas Wendemuth:
Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study. SPECOM 2020: 520-529
2010 – 2019
- 2019
- [c34]Eran Raveh, Ingo Siegert, Ingmar Steiner, Iona Gessinger, Bernd Möbius:
Three's a Crowd? Effects of a Second Human on Vocal Accommodation with a Voice Assistant. INTERSPEECH 2019: 4005-4009 - [c33]Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, Wolfgang Minker:
Cross-Corpus Data Augmentation for Acoustic Addressee Detection. SIGdial 2019: 274-283 - [c32]Oliver Jokisch, Ingo Siegert, Michael Maruschke, Tilo Strutz, Andrey Ronzhin:
Don't Talk to Noisy Drones - Acoustic Interaction with Unmanned Aerial Vehicles. SPECOM 2019: 180-190 - [p6]Ronald Böck, Olga Egorow, Juliane Höbel-Müller, Alicia Flores Requardt, Ingo Siegert, Andreas Wendemuth:
Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions. Innovations in Big Data Mining and Embedded Knowledge 2019: 203-233 - 2018
- [j5]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. Comput. Speech Lang. 51: 1-23 (2018) - [c31]Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Improving Emotion Recognition Performance by Random-Forest-Based Feature Selection. SPECOM 2018: 134-144 - [c30]Ingo Siegert, Alicia Flores Lotz, Olga Egorow, Susann Wolff:
Utilizing Psychoacoustic Modeling to Improve Speech-Based Emotion Recognition. SPECOM 2018: 625-635 - 2017
- [c29]Olga Egorow, Alicia Flores Lotz, Ingo Siegert, Ronald Böck, Julia Krüger, Andreas Wendemuth:
Accelerating manual annotation of filled pauses by automatic pre-selection. ICCT 2017: 1-6 - [c28]Ronald Böck, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Comparative Study on Normalisation in Emotion Recognition from Speech. IHCI 2017: 189-201 - [c27]Ingo Siegert, Oliver Jokisch, Alicia Flores Lotz, Franziska Trojahn, Martin Meszaros, Michael Maruschke:
Acoustic Cues for the Perceptual Assessment of Surround Sound. SPECOM 2017: 65-75 - [c26]Ingo Siegert, Alicia Flores Lotz, Olga Egorow, Andreas Wendemuth:
Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis. SPECOM 2017: 445-455 - [p5]Tatiana Gossen, Ingo Siegert, Andreas Nürnberger, Kim Hartmann, Michael Kotzyba, Andreas Wendemuth:
Modeling Aspects in Human-Computer Interaction: Adaptivity, User Characteristics and Evaluation. Companion Technology 2017: 57-78 - [p4]Dietmar F. Rösner, Jörg Frommer, Andreas Wendemuth, Thomas Bauer, Stephan Günther, Matthias Haase, Ingo Siegert:
The LAST MINUTE Corpus as a Research Resource: From Signal Processing to Behavioral Analyses in User-Companion Interactions. Companion Technology 2017: 277-299 - [p3]Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell:
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. Companion Technology 2017: 387-408 - [p2]Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech. Companion Technology 2017: 409-428 - [p1]Ingo Siegert, Felix Schüssel, Miriam Schmidt, Stephan Reuter, Sascha Meudt, Georg Layher, Gerald Krell, Thilo Hörnle, Sebastian Handrich, Ayoub Al-Hamadi, Klaus Dietmayer, Heiko Neumann, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth:
Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 2017: 493-500 - 2016
- [j4]Ingo Siegert:
Emotional and User-Specific Acoustic Cues for Improved Analysis of Naturalistic Interactions. Künstliche Intell. 30(1): 93-94 (2016) - [c25]Ingo Siegert, Alicia Flores Lotz, Michael Maruschke, Oliver Jokisch, Andreas Wendemuth:
Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech. ITG Symposium on Speech Communication 2016: 1-5 - [c24]Alicia Flores Lotz, Ingo Siegert, Andreas Wendemuth:
Classification of Functional-Meanings of Non-isolated Discourse Particles in Human-Human-Interaction. HCI (1) 2016: 53-64 - [c23]Ingo Siegert, Julia Krüger, Matthias Haase, Alicia Flores Lotz, Stephan Günther, Jörg Frommer, Dietmar F. Rösner, Andreas Wendemuth:
Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation. HCI (1) 2016: 105-117 - [c22]Kim Hartmann, Ingo Siegert, Albert Ali Salah, Khiet P. Truong:
ERM4CT 2016: 2nd international workshop on emotion representations and modelling for companion systems (workshop summary). ICMI 2016: 593-595 - 2015
- [b1]Ingo Siegert:
Emotional and user-specific cues for improved analysis of naturalistic interactions. Otto von Guericke University Magdeburg, 2015 - [c21]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko:
Exploring dataset similarities using PCA-based feature selection. ACII 2015: 387-393 - [c20]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko, Kerstin Ohnemus:
Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. CogInfoCom 2015: 83-88 - [c19]Ingo Siegert, Kerstin Ohnemus:
A new Dataset of Telephone-Based Human-Human Call-Center Interaction with Emotional Evaluation. ISCT 2015: 143-148 - [c18]Kim Hartmann, Ingo Siegert, Björn W. Schuller, Louis-Philippe Morency, Albert Ali Salah, Ronald Böck:
ERM4CT 2015: Workshop on Emotion Representations and Modelling for Companion Systems. ERM4CT@ICMI 2015: 1-2 - [c17]Ronald Böck, Ingo Siegert:
Recognising Emotional Evolution from Speech. ERM4CT@ICMI 2015: 13-18 - [e1]Kim Hartmann, Ingo Siegert, Björn W. Schuller, Louis-Philippe Morency, Albert Ali Salah, Ronald Böck:
Proceedings of the International Workshop on Emotion Representations and Modelling for Companion Technologies, ERM4CT@ICMI 2015, Seattle, Washington, USA, November 13, 2015. ACM 2015, ISBN 978-1-4503-3988-9 [contents] - 2014
- [j3]Ingo Siegert, David Philippou-Hübner, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. Cogn. Comput. 6(4): 892-913 (2014) - [j2]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. J. Multimodal User Interfaces 8(1): 17-28 (2014) - [j1]Dmytro Prylipko, Dietmar F. Rösner, Ingo Siegert, Stephan Günther, Rafael Friesen, Matthias Haase, Bogdan Vlasenko, Andreas Wendemuth:
Analysis of significant dialog events in realistic human-computer interaction. J. Multimodal User Interfaces 8(1): 75-86 (2014) - [c16]Ingo Siegert, Matthias Haase, Dmytro Prylipko, Andreas Wendemuth:
Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction. HCI (2) 2014: 492-501 - [c15]Dmytro Prylipko, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Application of image processing methods to filled pauses detection from spontaneous speech. INTERSPEECH 2014: 1816-1820 - 2013
- [c14]Ronald Böck, Stefan Glüge, Ingo Siegert, Andreas Wendemuth:
Annotation and Classification of Changes of Involvement in Group Conversation. ACII 2013: 803-808 - [c13]Ingo Siegert, Michael Glodek, Axel Panning, Gerald Krell, Friedhelm Schwenker, Ayoub Al-Hamadi, Andreas Wendemuth:
Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. CYBCONF 2013: 132-137 - [c12]Ingo Siegert, Kim Hartmann, David Philippou-Hübner, Andreas Wendemuth:
Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features. HBU 2013: 246-257 - [c11]Ronald Böck, Kerstin Limbrecht-Ecklundt, Ingo Siegert, Steffen Walter, Andreas Wendemuth:
Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. HCI (5) 2013: 301-309 - [c10]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
The Influence of Context Knowledge for Multi-modal Affective Annotation. HCI (5) 2013: 381-390 - [c9]Kim Hartmann, Ingo Siegert, David Philippou-Hübner, Andreas Wendemuth:
Emotion Detection in HCI: From Speech Features to Emotion Space. IFAC HMS 2013: 288-295 - [c8]Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. WIRN 2013: 387-394 - 2012
- [c7]Jörg Frommer, Bernd Michaelis, Dietmar F. Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, Ingo Siegert:
Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. LREC 2012: 3064-3069 - [c6]Gerald Krell, Michael Glodek, Axel Panning, Ingo Siegert, Bernd Michaelis, Andreas Wendemuth, Friedhelm Schwenker:
Fusion of Fragmentary Classifier Decisions for Affective State Recognition. MPRSS 2012: 116-130 - 2011
- [c5]Ronald Böck, Ingo Siegert, Matthias Haase, Julia Lange, Andreas Wendemuth:
ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. ACII (1) 2011: 25-34 - [c4]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Modeling Users' Mood State to Improve Human-Machine-Interaction. COST 2102 Training School 2011: 273-279 - [c3]Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth:
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. ICME 2011: 1-6 - [c2]Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal emotions. ICME 2011: 1-6 - 2010
- [c1]Stefan Scherer, Ingo Siegert, Lutz Bigalke, Sascha Meudt:
Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. LREC 2010
Coauthor Index
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