Author of the publication

Impact of the number of votes on the reliability and validity of subjective speech quality assessment in the crowdsourcing approach

, , , , , and . 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), page 1--6. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Analysis of influencing factors in speech quality assessment using crowdsourcing.. Technical University of Berlin, Germany, (2022)Outliers Detection vs. Control Questions to Ensure Reliable Results in Crowdsourcing.: A Speech Quality Assessment Case Study., , and . WWW (Companion Volume), page 1127-1130. ACM, (2018)Removing the Bias in Speech Quality Scores Collected in Noisy Crowdsourcing Environments., , and . QoMEX, page 49-54. IEEE, (2021)Perceptual Ratings of Voice Likability Collected Through In-Lab Listening Tests vs. Mobile-Based Crowdsourcing., , and . INTERSPEECH, page 2233-2237. ISCA, (2017)Impact of the number of votes on the reliability and validity of subjective speech quality assessment in the crowdsourcing approach, , , , , and . 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), page 1--6. IEEE, (2020)Modeling Worker Performance Based on Intra-rater Reliability in Crowdsourcing : A Case Study of Speech Quality Assessment., , , , and . QoMEX, page 1-6. IEEE, (2019)Scoring voice likability using pair-comparison: Laboratory vs. crowdsourcing approach., , and . QoMEX, page 1-3. IEEE, (2017)Influence of Number of Stimuli for Subjective Speech Quality Assessment in Crowdsourcing., , and . QoMEX, page 1-6. IEEE, (2018)Effect of Environmental Noise in Speech Quality Assessment Studies using Crowdsourcing., , and . QoMEX, page 1-6. IEEE, (2020)Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms., , , and . CoRR, (2020)