278 citations · 481 across the 19 of their papers we have counts for
3 papers · 1 filter
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
Gabriel Mittag, Saman Zadtootaghaj, Thilo Michael +2
The ground truth used for training image, video, or speech quality prediction models is based on the Mean Opinion Scores (MOS) obtained from subjective experiments. Usually, it is…
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Gabriel Mittag, Babak Naderi, Assmaa Chehadi +1
In this paper, we present an update to the NISQA speech quality prediction model that is focused on distortions that occur in communication networks. In contrast to the previous ve…
Speech Quality Assessment in Crowdsourcing: Comparison Category Rating Method
Babak Naderi, Sebastian Möller, Ross Cutler
Traditionally, Quality of Experience (QoE) for a communication system is evaluated through a subjective test. The most common test method for speech QoE is the Absolute Category Ra…