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Tim Polzehl

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2020 – today

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2024
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Vera Schmitt, Balázs Patrik Csomor, Joachim Meyer, Luis-Felipe Villa-Arenas, Charlott Jakob, Tim Polzehl, Sebastian Möller:
Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking. MAD@ICMR 2024: 91-100
[i7]
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Suhita Ghosh, Mélanie Jouaiti, Arnab Das, Yamini Sinha, Tim Polzehl, Ingo Siegert, Sebastian Stober:
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example. CoRR abs/2410.15500 (2024)
2023
[c41]
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Tim Polzehl, Vera Schmitt, Nils Feldhus, Joachim Meyer, Sebastian Möller:
Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems. VISIGRAPP (2: HUCAPP) 2023: 267-278
[c40]
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  - conf/interspeech/GhoshDSSPS23
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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
[c39]
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Arnab Das, Suhita Ghosh, Tim Polzehl, Ingo Siegert, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. SSW 2023: 81-87
[i6]
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  - journals/corr/abs-2309-07586
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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)
[i5]
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  - journals/corr/abs-2309-07592
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Arnab Das, Suhita Ghosh, Tim Polzehl, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. CoRR abs/2309.07592 (2023)
2022
[c38]
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Tim Polzehl, Yuexin Cao, Vicente Iván Sánchez Carmona, Xiaoyi Liu, Changjian Hu, Neslihan Iskender, André Beyer, Sebastian Möller:
Towards Personalization by Information Savviness to Improve User Experience in Customer Service Chatbot Conversations. VISIGRAPP (2: HUCAPP) 2022: 36-47
[c37]
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Daniel Fernau, Stefan Hillmann, Nils Feldhus, Tim Polzehl:
Towards Automated Dialog Personalization using MBTI Personality Indicators. INTERSPEECH 2022: 1968-1972
[c36]
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Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. INTERSPEECH 2022: 3403-3407
[c35]
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Daniel Fernau, Stefan Hillmann, Nils Feldhus, Tim Polzehl, Sebastian Möller:
Towards Personality-Aware Chatbots. SIGDIAL 2022: 135-145
[i4]
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  - journals/corr/abs-2204-00770
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Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. CoRR abs/2204.00770 (2022)
2021
[c34]
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Yuexin Cao, Vicente Iván Sánchez Carmona, Xiaoyi Liu, Changjian Hu, Neslihan Iskender, André Beyer, Sebastian Möller, Tim Polzehl:
On the Impact of Self-efficacy on Assessment of User Experience in Customer Service Chatbot Conversations. IWSDS 2021: 253-262
[c33]
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  - conf/nldb/IskenderSP021
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Neslihan Iskender, Robin Schaefer, Tim Polzehl, Sebastian Möller:
Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection. NLDB 2021: 275-288
[i3]
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  - journals/corr/abs-2105-06027
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Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller:
Towards Human-Free Automatic Quality Evaluation of German Summarization. CoRR abs/2105.06027 (2021)
[i2]
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  - journals/corr/abs-2109-08129
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Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller:
Does Summary Evaluation Survive Translation to Other Languages? CoRR abs/2109.08129 (2021)
2020
[c32]
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Neslihan Iskender, Tim Polzehl, Sebastian Möller:
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation. Eval4NLP 2020: 164-175
[c31]
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Neslihan Iskender, Tim Polzehl, Sebastian Möller:
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization. LREC 2020: 245-253
[c30]
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Werner Robitza, Alexander M. Dethof, Steve Göring, Alexander Raake, André Beyer, Tim Polzehl:
Are You Still Watching? Streaming Video Quality and Engagement Assessment in the Crowd. QoMEX 2020: 1-6
[c29]
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Neslihan Iskender, Tim Polzehl, Sebastian Möller:
Crowdsourcing versus the laboratory: Towards crowd-based linguistic text quality assessment of query-based extractive summarization. Qurator 2020

2010 – 2019

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2019
[c28]
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Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, Sebastian Möller:
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries. QoMEX 2019: 1-3
2018
[c27]
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Michael Barz, Neslihan Büyükdemircioglu, Rikhu Prasad Surya, Tim Polzehl, Daniel Sonntag:
Device-Type Influence in Crowd-based Natural Language Translation Tasks (short paper). SAD/CrowdBias@HCOMP 2018: 93-97
2016
[c26]
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Andrew Caines, Christian Bentz, Calbert Graham, Tim Polzehl, Paula Buttery:
Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora. LREC 2016
2015
[c25]
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  - conf/interspeech/PolzehlNKM15
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Tim Polzehl, Babak Naderi, Friedemann Köster, Sebastian Möller:
Robustness in speech quality assessment and temporal training expiry in mobile crowdsourcing environments. INTERSPEECH 2015: 2794-2798
[c24]
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Babak Naderi, Tim Polzehl, Ina Wechsung, Friedemann Köster, Sebastian Möller:
Effect of trapping questions on the reliability of speech quality judgments in a crowdsourcing paradigm. INTERSPEECH 2015: 2799-2803
[c23]
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Tim Polzehl, Gina-Anne Levow:
Advanced crowdsourcing for speech and beyond: introduction by the organizers. INTERSPEECH 2015
2014
[c22]
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Babak Naderi, Tim Polzehl, André Beyer, Tibor Pilz, Sebastian Möller:
Crowdee: mobile crowdsourcing micro-task platform for celebrating the diversity of languages. INTERSPEECH 2014: 1496-1497
[c21]
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Babak Naderi, Ina Wechsung, Tim Polzehl, Sebastian Möller:
Development and Validation of Extrinsic Motivation Scale for Crowdsourcing Micro-task Platforms. CrowdMM 2014: 31-36
2013
[i1]
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  - journals/corr/abs-1303-1761
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Mayank Bhargava, Tim Polzehl:
Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature. CoRR abs/1303.1761 (2013)
2012
[c20]
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  - conf/icassp/BlackBDMMPPPSV12
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Alan W. Black, H. Timothy Bunnell, Ying Dou, Prasanna Kumar Muthukumar, Florian Metze, Daniel Perry, Tim Polzehl, Kishore Prahallad, Stefan Steidl, Callie Vaughn:
Articulatory features for expressive speech synthesis. ICASSP 2012: 4005-4008
[c19]
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Tim Polzehl, Katrin Schoenenberg, Sebastian Möller, Florian Metze, Gelareh Mohammadi, Alessandro Vinciarelli:
On Speaker-Independent Personality Perception and Prediction from Speech. INTERSPEECH 2012: 258-261
2011
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Tim Polzehl, Alexander Schmitt, Florian Metze, Michael Wagner:
Anger recognition in speech using acoustic and linguistic cues. Speech Commun. 53(9-10): 1198-1209 (2011)
[c18]
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Tim Polzehl, Alexander Schmitt, Florian Metze:
Salient Features for Anger Recognition in German and English IVR Portals. IWSDS 2011: 83-105
[c17]
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Florian Metze, Alan W. Black, Tim Polzehl:
A Review of Personality in Voice-Based Man Machine Interaction. HCI (2) 2011: 358-367
[c16]
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Tim Polzehl, Sebastian Möller, Florian Metze:
Modeling Speaker Personality Using Voice. INTERSPEECH 2011: 2369-2372
2010
[c15]
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  - conf/blizzard/Hinterleitner0F10
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Florian Hinterleitner, Sebastian Möller, Tiago H. Falk, Tim Polzehl:
Comparison of Approaches for Instrumentally Predicting the Quality of Text-to-Speech Systems: Data from Blizzard Challenges 2008 and 2009. Blizzard Challenge 2010
[c14]
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Benjamin Weiss, Sebastian Möller, Tim Polzehl:
Wirkung menschlicher Stimme auf die wahrgenommene Sympathie - Einfluss der Stimmanregung anhand von Laryngogrammen. ESSV 2010: 56-63
[c13]
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Björn W. Schuller, Florian Metze, Stefan Steidl, Anton Batliner, Florian Eyben, Tim Polzehl:
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote. ICASSP 2010: 5230-5233
[c12]
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Florian Metze, Anton Batliner, Florian Eyben, Tim Polzehl, Björn W. Schuller, Stefan Steidl:
Emotion recognition using imperfect speech recognition. INTERSPEECH 2010: 478-481
[c11]
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Sebastian Möller, Florian Hinterleitner, Tiago H. Falk, Tim Polzehl:
Comparison of approaches for instrumentally predicting the quality of text-to-speech systems. INTERSPEECH 2010: 1325-1328
[c10]
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Alexander Schmitt, Tim Polzehl, Wolfgang Minker:
Facing Reality: Simulating Deployment of Anger Recognition in IVR Systems. IWSDS 2010: 122-131
[c9]
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Alexander Schmitt, Tim Polzehl, Wolfgang Minker, Jackson Liscombe:
The Influence of the Utterance Length on the Recognition of Aged Voices. LREC 2010
[c8]
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Tim Polzehl, Sebastian Möller, Florian Metze:
Automatically Assessing Personality from Speech. ICSC 2010: 134-140
[c7]
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Tim Polzehl, Sebastian Möller, Florian Metze:
Automatically assessing acoustic manifestations of personality in speech. SLT 2010: 7-12

2000 – 2009

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2009
[c6]
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Felix Burkhardt, Markus Van Ballegooy, Klaus-Peter Engelbrecht, Tim Polzehl, Joachim Stegmann:
Emotion detection in dialog systems: Applications, strategies and challenges. ACII 2009: 1-6
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Hamed Ketabdar, Tim Polzehl:
Fall and emergency detection with mobile phones. ASSETS 2009: 241-242
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Hamed Ketabdar, Tim Polzehl:
Tactile and visual alerts for deaf people by mobile phones. ASSETS 2009: 253-254
[c3]
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Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Florian Metze, Richard Huber:
Detecting real life anger. ICASSP 2009: 4761-4764
[c2]
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Tim Polzehl, Shiva Sundaram, Hamed Ketabdar, Michael Wagner, Florian Metze:
Emotion classification in children's speech using fusion of acoustic and linguistic features. INTERSPEECH 2009: 340-343
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Florian Metze, Tim Polzehl, Michael Wagner:
Fusion of Acoustic and Linguistic Features for Emotion Detection. ICSC 2009: 153-160

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