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Found 18 papers, 10 papers with code
Subjective Assessment of Text Complexity: A Dataset for German Language
This paper presents TextComplexityDE, a dataset consisting of 1000 sentences in German language taken from 23 Wikipedia articles in 3 different article-genres to be used for developing text-complexity predictor models and automatic text simplification in German language.
Impact of the Number of Votes on the Reliability and Validity of Subjective Speech Quality Assessment in the Crowdsourcing Approach
The subjective quality of transmitted speech is traditionally assessed in a controlled laboratory environment according to ITU-T Rec.
Multimedia
An Open source Implementation of ITU-T Recommendation P.808 with Validation
We provide an open-source implementation of the ITU-T Rec.
Subjective Evaluation of Noise Suppression Algorithms in Crowdsourcing
The quality of the speech communication systems, which include noise suppression algorithms, are typically evaluated in laboratory experiments according to the ITU-T Rec.
Crowdsourcing approach for subjective evaluation of echo impairment
The quality of acoustic echo cancellers (AECs) in real-time communication systems is typically evaluated using objective metrics like ERLE and PESQ, and less commonly with lab-based subjective tests like ITU-T Rec.
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
In this paper, we present an update to the NISQA speech quality prediction model that is focused on distortions that occur in communication networks.
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
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.
A crowdsourcing approach to video quality assessment
P. 910 is slow, expensive, and requires a lab, which all create barriers to usage.
A Transfer Learning Based Model for Text Readability Assessment in German
Text readability assessment has a wide range of applications for different target people, from language learners to people with disabilities.
ICASSP 2023 Speech Signal Improvement Challenge
The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.
LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls
Using these features together with VMAF core features, our proposed model achieves a PCC of 0. 99 on the validation set.
Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs
We also propose a new full reference video quality assessment (FRVQA) model that achieves a Pearson Correlation Coefficient (PCC) of 0. 99 and a Spearman's Rank Correlation Coefficient (SRCC) of 0. 99 at the model level.
VCD: A Video Conferencing Dataset for Video Compression
We present the Video Conferencing Dataset (VCD) for evaluating video codecs for real-time communication, the first such dataset focused on video conferencing.
ICASSP 2024 Speech Signal Improvement Challenge
The ICASSP 2024 Speech Signal Improvement Grand Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.
Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation
The quality of machine-generated text is a complex construct consisting of various aspects and dimensions.
Subjective Text Complexity Assessment for German
In order to provide suitable text for the target audience, it is necessary to measure its complexity.
Overview of the GermEval 2022 Shared Task on Text Complexity Assessment of German Text
We designed the task as text regression in which participants developed models to predict complexity of pieces of text for a German learner in a range from 1 to 7.
