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Dr. Tim Polzehl

Crowdsourcing Technology

  • High-quality data collection via crowdsourcing
  • Data management and data services via crowdsourcing (clean, index, verify, tag, label, translate, summarize, join, etc. )
  • Data synthesis und data generation via crowdsourcing
  • Subjective influences and bias normalization in crowdsourcing
  • Crowd-creation, crowd-voting, crowd-storming, crowd-testing applications
  • Crowdsourcing service for machine learning and BI
  • Crowdsourcing business and Business Logic
  • Complex automated workflows: combining human and artificial intelligence
  • Crowdsourcing with mobile devices
  • Real-time crowdsourcing
  • Skill-based crowdsourcing and verification of crowd-experts


Speech Technology

  • Automatic user classification
  • Automatic speaker characterization (age, gender, emotion, personality) 
  • Automatic speech recognition (ASR),
  • Prosody and voice gesture recognition
  • Prosodic voice print analysis, phonetic science
  • App development with speech functionalities (Android, iOS)


Text Classification, Natural Language Processing (NLP)  

  • Sentiment Analysis
  • Affective Analysis, Emotion
  • Personality und Lifestyle Detection from Social-Networks (Twitter, FB, G+, etc.)


Machine Learning and Artificial Intelligence  

  • Automated user modelling
  • Classification and prediction systems using linear and non-linear algorithms
  • Feature selection and reduction
  • Evaluation and verification methods


Running and Past Projects:

please click here.



Project Biography 

Tim Polzehl studied Science of Communication at Berlin's Technical University. Combining linguistic knowledge with signal processing skills he focused on speech interpretation and automatic data- and metadata extraction. He gathered experience within the field of machine learning as exercised when recognizing human speech utterances and classifying emotional expression subliminal in speech, the latter of which became his M.A. thesis. 

In 2008 Tim Polzehl started his position as PhD candidate in Telekom Innovation Laboratories (T-Labs) and the Quality and Usability Lab. He worked in both industrial and academic projects with focus on speech technology, App-Development, machine learning crowd sourcing solutions.

2011-2013 Tim was leading a R&D Project for Telekom Innovation Laboratories with Applications in the field of Intelligent Customer-Care Systems and Speech-Apps.

2012-2014 Tim was awarded with an BMBF funded Education program for future IT and Development Leadership involving SAP, Software AG, Scheer Group, Siemens, Holtzbrinck, Bosch, Datev and Deutsche Telekom AG, amongst highly ranked academic institution (Softwarecampus).       

2014 Tim was awarded the PhD for his work on automatic prediction of personality attributes from speech.

Since 2014 Tim has been working as a Postdoc at the Quality and Usability chair of TU-Berlin. At the same time Tim is driving the start-up activity applying the earlier  development of crowdsourcing solutions Crowdee.



Quality and Usability Labs

Technische Universität Berlin

Ernst-Reuter-Platz 7

D-10587 Berlin

Tel.:+49 (30) 8353-58227Fax: +49 (30) 8353-58409

Openings / Supervision

please refer to here.


Schmitt, A. and Polzehl, Tim and Minker, Wolfgang (2010). Modeling A-Priori Likelihoods for Angry User Turns with Hidden Markov Models. SpeechProsody. University of Illionoise, 1–6.

Schmitt, A. and Polzehl, Tim and Minker, Wolfgang (2010). Facing Reality: Simulating Deployment of Anger - Recognition in IVR Systems. Spoken Dialogue Systems for Ambient Environments - Lecture Notes in Computer Science. Springer, 23–48.

Schmitt, A. and Polzehl, Tim and Minker, Wolfgang and Liscombe, J. (2010). The Influence of the Utterance Length on the Recognition of Aged Voices. Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10). European Language Resources Association (ELRA), 1–6.

Ketabdar, Hamed and Polzehl, Tim (2009). Fall and Emergency Detection with Mobile Phones. Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'09). ACM New York, NY, USA textcopyright2009, 241–242.

Ketabdar, Hamed and Polzehl, Tim (2009). Enhancing Security and Emergency Functionalities in Mobile Phones by Audio and Movement Analysis. Proceedings of the 11th International Conference on Ubiquitous Computing (UBICOMP'09)

Ketabdar, Hamed and Polzehl, Tim (2009). Tactile and Visual Alerts for Deaf People by Mobile Phones. Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'09). ACM New York, NY, USA textcopyright2009, 253–254.

Metze, Florian and Polzehl, Tim and Wagner, Michael (2009). Fusion of Acoustic and Linguistic Speech Features for Emotion Detection. Proc. of International Conference on Semantic Computing (ICSC 2009). IEEE.

Naderi, Babak and Polzehl, Tim and Beyer, André and Pilz, tibor and Möller, Sebastian (2014). Crowdee: Mobile Crowdsourcing Micro-task Platform for Celebrating the Diversity of Languages. Proc. 15th Ann. Conf. of the Int. Speech Comm. Assoc. (Interspeech 2014), Show & Tell Session. ISCA, 1496–1497.

Link to publication Link to original publication

Naderi, Babak and Wechsung, Ina and Polzehl, Tim and Möller, Sebastian (2014). Development and Validation of Extrinsic Motivation Scale for Crowdsourcing Micro-task Platforms. Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia. ACM, 31–36.

Link to publication

Weiss, Benjamin and Möller, Sebastian and Polzehl, Tim (2010). Zur Wirkung menschlicher Stimme auf die wahrgenommene Sympathie – Einfluss der Stimmanregung. Elektronische Sprachsignalverarbeitung 2010. Tagungsband der 21. Konferenz. TUDpress, 1–6.

Link to publication

Polzehl, Tim and Schoenenberg, Katrin and Möller, Sebastian and Metze, Florian and Mohammadi, Gelareh and Vinciarelli, Alessandro (2012). On Speaker-Independent Personality Perception and Prediction from Speech. Proc. 13th Ann. Conf. of the Int. Speech Communication Assoc. (Interspeech 2012). IEEE.

Link to publication

Polzehl, Tim (2014). Personality in Speech - Assessment and Automatic Classification. T-Labs Series in Telecommunication Services. Springer.

Barz, Michael and Büyükdemircioglu, Neslihan and Prasad Surya, Rikhu and Polzehl, Tim and Sonntag, Daniel (2018). Device-Type Influence in Crowd-based Natural Language Translation Tasks. Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement (SAD) in Crowdsourcing 2018, and the 1st Workshop CrowdBias'18: Disentangling the Relation Between Crowdsourcing and Bias Management, 93–97.

Link to publication Link to original publication

Barz, Michael and Polzehl, Tim and Sonntag, Daniel (2018). Towards Hybrid Human-Machine Translation Services. EasyChair Preprint no. 333

Link to original publication

Dimitrov, Todor and Kramps, Oliver and Naroska, Edwin and Bolten, Tobias and Demmer, Julia and Ressel, Christian and Könen, Stefan and Polzehl, Tim and Voigt-Antons, Jan-Niklas and Matthies, Olaf and Habibi, Amir and Heutelbeck, Dominic and Mertens, Jana and Matip, Eva-Maria (2018). „OurPuppet“ – Entwicklung einer Mensch-Technik-Interaktion für die Unterstützung informell Pflegender. Zukunft der Pflege Tagungsband der 1. Clusterkonferenz 2018. BIS, 78–84.

Link to original publication

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