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Tim Polzehl
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2020 – today
- 2024
- [c42]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 - 2023
- [c41]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]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]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]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]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]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]Daniel Fernau, Stefan Hillmann, Nils Feldhus, Tim Polzehl:
Towards Automated Dialog Personalization using MBTI Personality Indicators. INTERSPEECH 2022: 1968-1972 - [c36]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]Daniel Fernau, Stefan Hillmann, Nils Feldhus, Tim Polzehl, Sebastian Möller:
Towards Personality-Aware Chatbots. SIGDIAL 2022: 135-145 - [i4]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]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]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]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]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]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]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]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]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
- 2019
- [c28]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]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]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]Tim Polzehl, Gina-Anne Levow:
Advanced crowdsourcing for speech and beyond: introduction by the organizers. INTERSPEECH 2015 - [c24]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 - [c23]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 - 2014
- [c22]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]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]Mayank Bhargava, Tim Polzehl:
Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature. CoRR abs/1303.1761 (2013) - 2012
- [c20]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]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
- [j1]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]Tim Polzehl, Alexander Schmitt, Florian Metze:
Salient Features for Anger Recognition in German and English IVR Portals. IWSDS 2011: 83-105 - [c17]Florian Metze, Alan W. Black, Tim Polzehl:
A Review of Personality in Voice-Based Man Machine Interaction. HCI (2) 2011: 358-367 - [c16]Tim Polzehl, Sebastian Möller, Florian Metze:
Modeling Speaker Personality Using Voice. INTERSPEECH 2011: 2369-2372 - 2010
- [c15]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]Benjamin Weiss, Sebastian Möller, Tim Polzehl:
Wirkung menschlicher Stimme auf die wahrgenommene Sympathie - Einfluss der Stimmanregung anhand von Laryngogrammen. ESSV 2010: 56-63 - [c13]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]Florian Metze, Anton Batliner, Florian Eyben, Tim Polzehl, Björn W. Schuller, Stefan Steidl:
Emotion recognition using imperfect speech recognition. INTERSPEECH 2010: 478-481 - [c11]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]Alexander Schmitt, Tim Polzehl, Wolfgang Minker:
Facing Reality: Simulating Deployment of Anger Recognition in IVR Systems. IWSDS 2010: 122-131 - [c9]Alexander Schmitt, Tim Polzehl, Wolfgang Minker, Jackson Liscombe:
The Influence of the Utterance Length on the Recognition of Aged Voices. LREC 2010 - [c8]Tim Polzehl, Sebastian Möller, Florian Metze:
Automatically Assessing Personality from Speech. ICSC 2010: 134-140 - [c7]Tim Polzehl, Sebastian Möller, Florian Metze:
Automatically assessing acoustic manifestations of personality in speech. SLT 2010: 7-12
2000 – 2009
- 2009
- [c6]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 - [c5]Hamed Ketabdar, Tim Polzehl:
Fall and emergency detection with mobile phones. ASSETS 2009: 241-242 - [c4]Hamed Ketabdar, Tim Polzehl:
Tactile and visual alerts for deaf people by mobile phones. ASSETS 2009: 253-254 - [c3]Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Florian Metze, Richard Huber:
Detecting real life anger. ICASSP 2009: 4761-4764 - [c2]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 - [c1]Florian Metze, Tim Polzehl, Michael Wagner:
Fusion of Acoustic and Linguistic Features for Emotion Detection. ICSC 2009: 153-160
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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