TU Berlin

Quality and Usability LabTim Polzehl

Page Content

to Navigation

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.

 

Address:

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.

Publications

I

Iskender, Neslihan and Polzehl, Tim and Möller, Sebastian (2021). Towards Hybrid Human-Machine Workflow for Natural Language Generation. Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing. Association for Computational Linguistics, 1–7.

Link to publication Link to original publication

K

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.


Köster, Friedemann and Mittag, Gabriel and Polzehl, Tim and Möller, Sebastian (2016). Non-intrusive Estimation of Noisiness as a Perceptual Quality Dimension of Transmitted Speech. 5th ISCA/DEGA Workshop on Perceptual Quality of Systems (PQS 2016). ISCA/DEGA, 74–78.

Link to publication

M

Metze, F. and Polzehl, Tim and Black, Alan (2011). A Review of Personality in Voice-Based Man Machine Interaction. Human-Computer Interaction. Interaction Techniques and Environments - 14th International Conference, HCI International 2011. Springer, 358–367.


Metze, F. and Batliner, A. and Eyben, F. and Polzehl, Tim and Schuller, B. and Steidl, S. (2010). Emotion Recognition using Imperfect Speech Recognition. Proc. of the Annual Conference of the International Speech Communication Association (Interspeech 2009). IEEE, 1–6.


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.


Möller, Sebastian and Hinterleitner, Florian and Lewcio, Blazej and Polzehl, Tim (2011). Speech Quality Measurement and Prediction: NGMNs, TTS and Personality. Workshop Quality Perception in Conversational and Synthetic Speech


Möller, Sebastian and Wechsung, Ina and Kühnel, Christine and Polzehl, Tim and Schultz, Tanja and Putze, Felix (2011). Evaluation of Cognitive Interactive Systems: Problem Formulation and First Insights. Invited talk, Workshop on Benchmarking and Evaluation of Interactive Cognitive Systems (BCogS 2011).


Möller, Sebastian and Hinterleitner, Florian and Falk, Tiago H. and Polzehl, Tim (2010). Comparison of Approaches for Instrumentally Predicting the Quality of Text-To-Speech Systems. Proceedings of the 11th Annual Conference of the ISCA (Interspeech 2010). International Speech Communication Association (ISCA), 1–6.

Link to publication Link to original publication

N

Naderi, Babak and Polzehl, Tim and Wechsung, Ina and Köster, Friedemann and Möller, Sebastian (2015). Effect of Trapping Questions on the Reliability of Speech Quality Judgments in a Crowdsourcing Paradigm. 16th Ann. Conf. of the Int. Speech Comm. Assoc. (Interspeech 2015). ISCA, 2799–2803.

Link to publication Link to original publication

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

P

Polzehl, Tim and Möller, Sebastian and Metze, Florian (2011). Modeling Speaker Personality using Voice. Proc. 12th Ann. Conf. of the Int. Speech Communication Assoc. (Interspeech 2011). International Speech Communication Association (ISCA).

Link to publication

Navigation

Quick Access

Schnellnavigation zur Seite über Nummerneingabe