Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Human subjective evaluation is the "gold standard" to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores.
Chandan K. A. Reddy +2 more
semanticscholar +1 more source
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing [PDF]
Neural Information Processing Systems, 2023 4D human perception plays an essential role in a myriad of applications, such as home automation and metaverse avatar simulation. However, existing solutions which mainly rely on cameras and wearable devices are either privacy intrusive or inconvenient ...
Jianfei Yang +8 more
semanticscholar +1 more source
Operator inference for non-intrusive model reduction with quadratic manifolds [PDF]
Computer Methods in Applied Mechanics and Engineering, 2022 This paper proposes a novel approach for learning a data-driven quadratic manifold from high-dimensional data, then employing this quadratic manifold to derive efficient physics-based reduced-order models.
R. Geelen, S. Wright, K. Willcox
semanticscholar +1 more source
PLCMOS - a data-driven non-intrusive metric for the evaluation of packet loss concealment algorithms [PDF]
Interspeech, 2023 Speech quality assessment is a problem for every researcher working on models that produce or process speech. Human subjective ratings, the gold standard in speech quality assessment, are expensive and time-consuming to acquire in a quantity that is ...
Lorenz Diener +5 more
semanticscholar +1 more source
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring [PDF]
Italian National Conference on Sensors, 2022 Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications and
Maria Kaselimi +4 more
semanticscholar +1 more source
ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications [PDF]
Interspeech, 2022 With the advances in speech communication systems such as online conferencing applications, we can seamlessly work with people regardless of where they are. However, during online meetings, speech quality can be significantly affected by background noise,
Gaoxiong Yi +12 more
semanticscholar +1 more source
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
International Conference on Architectural Support for Programming Languages and Operating Systems, 2023 While recent deep learning workload schedulers exhibit excellent performance, it is arduous to deploy them in practice due to some substantial defects, including inflexible intrusive manner, exorbitant integration and maintenance cost, limited ...
Qi Hu +4 more
semanticscholar +1 more source
Dnsmos: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Human subjective evaluation is the "gold standard" to evaluate speech quality optimized for human perception. Perceptual objective metrics serve as a proxy for subjective scores.
Chandan K. A. Reddy +2 more
semanticscholar +1 more source
IEEE Access, 2023 The exponential growth in road accidents has led to a need for continuous driver monitoring to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior analysis-based approaches, where the behavior analysis-based approaches are ...
M. A. Khan +4 more
semanticscholar +1 more source
International Journal for Numerical Methods in Engineering, 2023 This paper presents a new nonlinear non‐intrusive reduced‐order model (NL‐NIROM) that outperforms traditional proper orthogonal decomposition (POD)‐based reduced order model (ROM).
R. Fu +6 more
semanticscholar +1 more source