Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. - Stefan Scherer; Ingo Siegert; Lutz Bigalke; Sascha Meudt (LREC, 2010)

ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. - Ronald Böck; Ingo Siegert; Matthias Haase; Julia Lange; Andreas Wendemuth (ACII (1), 2011)

Modeling Users' Mood State to Improve Human-Machine-Interaction. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (COST 2102 Training School, 2011)

Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. - Ingo Siegert; Ronald Böck; Bogdan Vlasenko; David Philippou-Hübner; Andreas Wendemuth (ICME, 2011)

Vowels formants analysis allows straightforward detection of high arousal emotions. - Bogdan Vlasenko; David Philippou-Hübner; Dmytro Prylipko; Ronald Böck; Ingo Siegert; Andreas Wendemuth (ICME, 2011)

Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. - Jörg Frommer; Bernd Michaelis; Dietmar F. Rösner; Andreas Wendemuth; Rafael Friesen; Matthias Haase; Manuela Kunze; Rico Andrich; Julia Lange; Axel Panning; Ingo Siegert (LREC, 2012)

Fusion of Fragmentary Classifier Decisions for Affective State Recognition. - Gerald Krell; Michael Glodek; Axel Panning; Ingo Siegert; Bernd Michaelis; Andreas Wendemuth; Friedhelm Schwenker (MPRSS, 2012)

Annotation and Classification of Changes of Involvement in Group Conversation. - Ronald Böck; Stefan Glüge; Ingo Siegert; Andreas Wendemuth (ACII, 2013)

Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions. - Ingo Siegert; Michael Glodek; Axel Panning; Gerald Krell; Friedhelm Schwenker; Ayoub Al-Hamadi; Andreas Wendemuth (CYBCONF, 2013)

Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features. - Ingo Siegert; Kim Hartmann; David Philippou-Hübner; Andreas Wendemuth (HBU, 2013)

Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. - Ronald Böck; Kerstin Limbrecht-Ecklundt; Ingo Siegert; Steffen Walter 001; Andreas Wendemuth (HCI (5), 2013)

The Influence of Context Knowledge for Multi-modal Affective Annotation. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (HCI (5), 2013)

Emotion Detection in HCI: From Speech Features to Emotion Space. - Kim Hartmann; Ingo Siegert; David Philippou-Hübner; Andreas Wendemuth (IFAC HMS, 2013)

Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. - Ingo Siegert; Dmytro Prylipko; Kim Hartmann; Ronald Böck; Andreas Wendemuth (WIRN, 2013)

Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction. - Ingo Siegert; Matthias Haase; Dmytro Prylipko; Andreas Wendemuth (HCI (2), 2014)

Application of image processing methods to filled pauses detection from spontaneous speech. - Dmytro Prylipko; Olga Egorow; Ingo Siegert; Andreas Wendemuth (INTERSPEECH, 2014)

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. - Ingo Siegert; David Philippou-Hübner; Kim Hartmann; Ronald Böck; Andreas Wendemuth (Cogn. Comput., 2014)

Analysis of significant dialog events in realistic human-computer interaction. - Dmytro Prylipko; Dietmar F. Rösner; Ingo Siegert; Stephan Günther; Rafael Friesen; Matthias Haase; Bogdan Vlasenko; Andreas Wendemuth (J. Multimodal User Interfaces, 2014)

Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (J. Multimodal User Interfaces, 2014)

Exploring dataset similarities using PCA-based feature selection. - Ingo Siegert; Ronald Böck; Andreas Wendemuth; Bogdan Vlasenko (ACII, 2015)

Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. - Ingo Siegert; Ronald Böck; Andreas Wendemuth; Bogdan Vlasenko; Kerstin Ohnemus (CogInfoCom, 2015)

A new Dataset of Telephone-Based Human-Human Call-Center Interaction with Emotional Evaluation. - Ingo Siegert; Kerstin Ohnemus (ISCT, 2015)

Recognising Emotional Evolution from Speech. - Ronald Böck; Ingo Siegert (ERM4CT@ICMI, 2015)

ERM4CT 2015: Workshop on Emotion Representations and Modelling for Companion Systems. - Kim Hartmann; Ingo Siegert; Björn W. Schuller; Louis-Philippe Morency; Albert Ali Salah; Ronald Böck (ERM4CT@ICMI, 2015)

Emotional and user-specific cues for improved analysis of naturalistic interactions. - Ingo Siegert (2015)

Emotion Intelligibility within Codec-Compressed and Reduced Bandwidth Speech. - Ingo Siegert; Alicia Flores Lotz; Michael Maruschke; Oliver Jokisch; Andreas Wendemuth (ITG Symposium on Speech Communication, 2016)

Classification of Functional-Meanings of Non-isolated Discourse Particles in Human-Human-Interaction. - Alicia Flores Lotz; Ingo Siegert; Andreas Wendemuth (HCI (1), 2016)

Discourse Particles in Human-Human and Human-Computer Interaction - Analysis and Evaluation. - Ingo Siegert; Julia Krüger; Matthias Haase; Alicia Flores Lotz; Stephan Günther; Jörg Frommer; Dietmar F. Rösner; Andreas Wendemuth (HCI (1), 2016)

ERM4CT 2016: 2nd international workshop on emotion representations and modelling for companion systems (workshop summary). - Kim Hartmann; Ingo Siegert; Albert Ali Salah; Khiet P. Truong (ICMI, 2016)

Emotional and User-Specific Acoustic Cues for Improved Analysis of Naturalistic Interactions. - Ingo Siegert (Künstliche Intell., 2016)

Accelerating manual annotation of filled pauses by automatic pre-selection. - Olga Egorow; Alicia Flores Lotz; Ingo Siegert; Ronald Böck; Julia Krüger; Andreas Wendemuth (ICCT, 2017)

Comparative Study on Normalisation in Emotion Recognition from Speech. - Ronald Böck; Olga Egorow; Ingo Siegert; Andreas Wendemuth (IHCI, 2017)

Acoustic Cues for the Perceptual Assessment of Surround Sound. - Ingo Siegert; Oliver Jokisch; Alicia Flores Lotz; Franziska Trojahn; Martin Meszaros; Michael Maruschke (SPECOM, 2017)

Improving Speech-Based Emotion Recognition by Using Psychoacoustic Modeling and Analysis-by-Synthesis. - Ingo Siegert; Alicia Flores Lotz; Olga Egorow; Andreas Wendemuth (SPECOM, 2017)

Modeling Aspects in Human-Computer Interaction: Adaptivity, User Characteristics and Evaluation. - Tatiana Gossen; Ingo Siegert; Andreas Nürnberger; Kim Hartmann; Michael Kotzyba; Andreas Wendemuth (Companion Technology, 2017)

The LAST MINUTE Corpus as a Research Resource: From Signal Processing to Behavioral Analyses in User-Companion Interactions. - Dietmar F. Rösner; Jörg Frommer; Andreas Wendemuth; Thomas Bauer; Stephan Günther; Matthias Haase; Ingo Siegert (Companion Technology, 2017)

Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. - Friedhelm Schwenker; Ronald Böck; Martin Schels; Sascha Meudt; Ingo Siegert; Michael Glodek; Markus Kächele; Miriam Schmidt-Wack; Patrick Thiam; Andreas Wendemuth; Gerald Krell (Companion Technology, 2017)

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. - 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; et al. (Companion Technology, 2017)

Emotion Recognition from Speech. - Andreas Wendemuth; Bogdan Vlasenko; Ingo Siegert; Ronald Böck; Friedhelm Schwenker; Günther Palm (Companion Technology, 2017)

Improving Emotion Recognition Performance by Random-Forest-Based Feature Selection. - Olga Egorow; Ingo Siegert; Andreas Wendemuth (SPECOM, 2018)

Utilizing Psychoacoustic Modeling to Improve Speech-Based Emotion Recognition. - Ingo Siegert; Alicia Flores Lotz; Olga Egorow; Susann Wolff (SPECOM, 2018)

Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. - Ingo Siegert; Ronald Böck; Andreas Wendemuth (Comput. Speech Lang., 2018)

Three's a Crowd? Effects of a Second Human on Vocal Accommodation with a Voice Assistant. - Eran Raveh; Ingo Siegert; Ingmar Steiner; Iona Gessinger; Bernd Möbius (INTERSPEECH, 2019)

Cross-Corpus Data Augmentation for Acoustic Addressee Detection. - Oleg Akhtiamov; Ingo Siegert; Alexey Karpov 001; Wolfgang Minker (SIGdial, 2019)

Don't Talk to Noisy Drones - Acoustic Interaction with Unmanned Aerial Vehicles. - Oliver Jokisch; Ingo Siegert; Michael Maruschke; Tilo Strutz; Andrey Ronzhin (SPECOM, 2019)

Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions. - Ronald Böck; Olga Egorow; Juliane Höbel-Müller; Alicia Flores Requardt; Ingo Siegert; Andreas Wendemuth (Innovations in Big Data Mining and Embedded Knowledge, 2019)

An Analysis of the Applicability of VoiceXML as Basis for a Dialog Control Flow in Industrial Interaction Management. - Felix Böhm; Ingo Siegert; Alexander Belyaev; Christian Diedrich (ETFA, 2020)

Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech. - Norman Weißkirchen; Mainampati Vasudeva Reddy; Andreas Wendemuth; Ingo Siegert (ICHMS, 2020)

"Alexa in the wild" - Collecting Unconstrained Conversations with a Modern Voice Assistant in a Public Environment. - Ingo Siegert (LREC, 2020)

Prosodic addressee-detection: ensuring privacy in always-on spoken dialog systems. - Timo Baumann; Ingo Siegert (MuC, 2020)

Improving Automatic Speech Recognition Utilizing Audio-codecs for Data Augmentation. - Nirayo Hailu Gebreegziabher; Ingo Siegert; Andreas Nürnberger (MMSP, 2020)

Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study. - Ingo Siegert; Yamini Sinha; Oliver Jokisch; Andreas Wendemuth (SPECOM, 2020)

Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems. - Oleg Akhtiamov; Ingo Siegert; Alexey Karpov 001; Wolfgang Minker (Sensors, 2020)

Effects of Prosodic Variations on Accidental Triggers of a Commercial Voice Assistant. - Ingo Siegert (Interspeech, 2021)

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. - Ingo Siegert; Norman Weißkirchen; Julia Krüger; Oleg Akhtiamov; Andreas Wendemuth (Cogn. Syst. Res., 2021)

Music-Guided Imagination and Digital Voice Assistant - Study Design and First Results on the Application of Voice Assistants for Music-Guided Stress Reduction. - Ingo Siegert; Matthias Busch; Susanne Metzner; Florian Junne; Julia Krüger (HCI (36), 2022)

DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game Recordings. - Denis Dresvyanskiy; Yamini Sinha; Matthias Busch; Ingo Siegert; Alexey Karpov 001; Wolfgang Minker (SPECOM, 2022)

Editorial: Towards Omnipresent and Smart Speech Assistants. - Ingo Siegert; Stefan Hillmann; Benjamin Weiss 001; Jessica M. Szczuka; Alexey Karpov 001 (Frontiers Comput. Sci., 2022)

Acoustic-Based Automatic Addressee Detection for Technical Systems: A Review. - Ingo Siegert; Norman Weißkirchen; Andreas Wendemuth (Frontiers Comput. Sci., 2022)

AI Engineering als interdisziplinäres Einführungsmodul zwischen Künstlicher Intelligenz und Ingenieurwesen. - Sebastian Lang 001; Ingo Siegert; Viktor Artiushenko; Johannes Schleiss (GI-Jahrestagung, 2023)

Die Chatbot-Challenge - Spielend mit KI von der Idee zum Dialogsystem. - Ingo Siegert; Stefan Hillmann; Philline T. Görzig; Matthias Busch; Jan Nehring; Xenia Klinge (GI-Jahrestagung, 2023)

"What Can I Study at OVGU?" - An Analysis of the Applicability of Conversational Voice Assistants in Student Advisory Service. - Matthias Busch; Felix Böhm; Ingo Siegert (HCI (42), 2023)

User Perspective on Anonymity in Voice Assistants. - Matthias Haase; Julia Krüger; Ingo Siegert (HCI (42), 2023)

Voice Assistants for Therapeutic Support - A Literature Review. - Ingo Siegert; Matthias Busch; Susanne Metzner; Julia Krüger (HCI (42), 2023)

Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. - Suhita Ghosh; Arnab Das; Yamini Sinha; Ingo Siegert; Tim Polzehl; Sebastian Stober (INTERSPEECH, 2023)

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. - Arnab Das; Suhita Ghosh; Tim Polzehl; Ingo Siegert; Sebastian Stober (SSW, 2023)

Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses. - Suhita Ghosh; Yamini Sinha; Ingo Siegert; Sebastian Stober (CoRR, 2023)

Embarking on Inclusive Voice User Interfaces: Initial Steps in Exploring Technology Integration Within the Seminar 'AI and Educational Sciences'. - Matthias Busch; Robin Ibs; Ingo Siegert (HCI (13), 2024)

Development of an Automated, Rule-Based Measurement Method for Easy Language and Its Application to AI-Generated Texts. - Ingo Siegert; Ahmad Al-Hamad; Katharina Maria Pongratz; Matthias Busch (HCI (62), 2024)

AnonEmoFace: Emotion Preserving Facial Anonymization. - Jan Hintz; Jacob Rühe; Ingo Siegert (ICISSP, 2024)

Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example. - Suhita Ghosh; Mélanie Jouaiti; Arnab Das; Yamini Sinha; Tim Polzehl; Ingo Siegert; Sebastian Stober (INTERSPEECH, 2024)

Challenges of German Speech Recognition: A Study on Multi-ethnolectal Speech Among Adolescents. - Martha Schubert; Daniel Duran 001; Ingo Siegert (INTERSPEECH, 2024)

Participative Co-Design for inclusive AI: Challenges and Initial Steps for the Development of Inclusive Voice User Interfaces. - Matthias Busch; Katharina Maria Pongratz; Olaf Dörner; Ingo Siegert (MuC (Workshopband), 2024)

A Tutorial on Clinical Speech AI Development: From Data Collection to Model Validation. - Si-Ioi Ng; Lingfeng Xu; Ingo Siegert; Nicholas Cummins; Nina R. Benway; Julie Liss; Visar Berisha (CoRR, 2024)

IM HERE: Interaction Model for Human Effort Based Robot Engagement. - Dominykas Strazdas; Magnus Jung; Jan Marquenie; Ingo Siegert; Ayoub Al-Hamadi (CogSIMA, 2025)

When Silence Speaks: Understanding Open-Ended Responses via LLMs in Therapeutic Voice Interaction. - Matthias Busch; Arun Jose; Ingo Siegert (TSD (1), 2025)

Robot System Assistant (RoSA): evaluation of touch and speech input modalities for on-site HRI and telerobotics. - Dominykas Strazdas; Matthias Busch; Rijin Shaji; Ingo Siegert; Ayoub Al-Hamadi (Frontiers Robotics AI, 2025)

Defining bias in AI-systems: Biased models are fair models. - Chiara Lindloff; Ingo Siegert (CoRR, 2025)

Effect of Gender Fair Job Description on Generative AI Images. - Finn Böckling; Jan Marquenie; Ingo Siegert (CoRR, 2025)