TU Berlin

Quality and Usability LabRafael Zequeira Jiménez

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Rafael Zequeira Jiménez

Lupe

Research Topics

  • Speech Quality Assessment in Crowdsourcing  

 

Research Group

Next Generation Crowdsourcing

 

Biography

Rafael Zequeira Jiménez received a degree as Telecommunication Engineer (equivalent to Master of Science) from the University of Granada, Spain in 2014.

From 2013 to 2014 he studied at Technische Universität Berlin within the Erasmus program. At this time, he worked on his Master Thesis entitled: “Secure multi protocol system based on a Resource Model for the IoT and M2M services”. In December 2013, Rafael joined the SNET department of the Deutsche Telekom Innovation Laboratories (T-Labs), where he worked during 10 months as a student research assistant in the TRESOR project. In which he focused on designing and implementing REST APIs to communicate different components.

In June 2015 Rafael joined the Quality and Usability Lab department lead by Prof. Dr.-Ing. Sebastian Möller, to work as Research Assistant in the “Next Generation Crowdsourcing” group, specifically in the Crowdee project. Since 2016, he works towards his PhD in the topic: “Analysis of Crowdsourcing Micro-Tasks for Speech Quality Assessment”.

 

 

Contact

Twitter: @zequeiraj

e-mail:

 

 

Address

Quality and Usability Lab
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany

Tel:  +4930835358336​

Publications

Fernández Gallardo, Laura and Zequeira Jiménez, Rafael and Möller, Sebastian (2017). Perceptual Ratings of Voice Likability Collected through In-Lab Listening Tests vs. Mobile-Based Crowdsourcing. Annual Conference of the International Speech Communication Association (Interspeech). International Speech Communication Association, 2233–2237.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Scoring Voice Likability Using Pair-Comparison: Laboratory vs. Crowdsourcing Approach. Ninth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–3.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Pair-Comparison for Collecting Voice Likability Ratings: Laboratory vs. Crowdsourcing. International Young Researcher Summit on Quality of Experience in Emerging Multimedia Services (QEEMS), 1–5.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2017). Collecting Subjective Ratings of Voice Likability: Laboratory vs. Crowdsourcing. Workshop on Hybrid Human-Machine Computing (HHMC 2017), 1–2.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2018). Environmental Noise Recording as a Quality Control for Crowdsourcing Speech Quality Assessments. 44. Deutsche Jahrestagung für Akustik (DAGA). Deutsche Gesellschaft für Akustik DEGA e.V., 303–306.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2018). Outliers Detection vs. Control Questions to Ensure Reliable Results in Crowdsourcing. A Speech Quality Assessment Case Study. Companion Proceedings of the The Web Conference 2018. International World Wide Web Conferences Steering Committee, 1127–1130.

Link zur Originalpublikation

Naderi, Babak and Möller, Sebastian and Zequeira Jiménez, Rafael (2018). Evaluation of the Draft of P.CROWD Recommendation. ITU, 1–8.

Link zur Publikation

Zequeira Jiménez, Rafael and Fernández Gallardo, Laura and Möller, Sebastian (2018). Influence of Number of Stimuli for Subjective Speech Quality Assessment in Crowdsourcing. 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.


Zequeira Jiménez, Rafael and Mittag, Gabriel and Möller, Sebastian (2018). Effect of Number of Stimuli on Users Perception of Different Speech Degradations. A Crowdsourcing Case Study. Proceedings of IEEE International Symposium on Multimedia (ISM). IEEE, 175–179.

Link zur Publikation

Zequeira Jiménez, Rafael and Naderi, Babak and Llagostera, A. and Berger, J. (2019). Modeling Worker Performance Based on Intra-rater Reliability in Crowdsourcing A Case Study of Speech Quality Assessment. 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 1–6.


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