812 citations · 896 across the 7 of their papers we have counts for
11 papers
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction
Helard Becerra, Alessandro Ragano, Andrew Hines
Recent studies have shown how self-supervised models can produce accurate speech quality predictions. Speech representations generated by the pre-trained wav2vec 2.0 model allows c…
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study
Arslan Ahmad, Atif Bin Mansoor, Alcardo Alex Barakabitze +3
The Quality of Experience (QoE) based service management remains key for successful provisioning of multimedia services in next-generation networks such as 5G/6G, which requires pr…
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations
Alessandro Ragano, Emmanouil Benetos, Andrew Hines
Non-intrusive speech quality assessment is a crucial operation in multimedia applications. The scarcity of annotated data and the lack of a reference signal represent some of the m…
WARP-Q: Quality Prediction For Generative Neural Speech Codecs
Wissam A. Jassim, Jan Skoglund, Michael Chinen +1
Good speech quality has been achieved using waveform matching and parametric reconstruction coders. Recently developed very low bit rate generative codecs can reconstruct high qual…
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric
Michael Chinen, Felicia S. C. Lim, Jan Skoglund +3
Estimation of perceptual quality in audio and speech is possible using a variety of methods. The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio, respectively,)…
How Crisp is the Crease? A Subjective Study on Web Browsing Perception of Above-The-Fold
Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines
Quality of Experience (QoE) for various types of websites has gained significant attention in recent years. In order to design and evaluate websites, a metric that can estimate a u…