Outputs (51)

FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size (2024)
Journal Article
Scanlan, J., Umnova, O., & Li, F. (in press). FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size. #Journal not on list, https://doi.org/10.61782/fa.2023.1141

The vibration response of bone has the potential to be used as a measure of bone strength for Osteoporosis detection. Modelling the vibration response requires capturing the shape of the long bones which have several complicated features. Yet modelli... Read More about FE Modelling Tibia Bone Vibration - The Influence of Shape, Twist, and Size.

Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning (2018)
Journal Article
Scanlan, J., Li, F., Umnova, O., Rakoczy, G., Lövey, N., & Scanlan, P. (2018). Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning. Bioengineering, 5(4), 107. https://doi.org/10.3390/bioengineering5040107

Osteoporosis is an asymptomatic bone condition that affects a large proportion of the elderly population around the world, resulting in increased bone fragility and increased risk of fracture. Previous studies had shown that the vibroacoustic respons... Read More about Detection of osteoporosis from percussion responses using an electronic stethoscope and machine learning.

Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes (2018)
Presentation / Conference
Scanlan, J., Li, F., Umnova, O., Rakoczy, G., & Lövey, N. (2018, October). Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes. Presented at 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018), Polytechnic University of Bari, Italy

Osteoporosis is a prevalent but asymptomatic condition that affects a large population of the elderly, resulting in a high risk of fracture. Several methods have been developed and are available in general hospitals to indirectly assess the bone qual... Read More about Machine learning and DSP algorithms for screening of possible osteoporosis using electronic stethoscopes.

Robust speaker recognition in reverberant condition : toward greater biometric security (2018)
Thesis
Al-Karawi, K. (in press). Robust speaker recognition in reverberant condition : toward greater biometric security. (Thesis). University of Salford

Automatic speaker recognition systems have developed into an increasingly relevant technology for security applications in modern times. The primary challenge for automatic speaker recognition is to deal with the variability of the environments and c... Read More about Robust speaker recognition in reverberant condition : toward greater biometric security.

Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method (2018)
Journal Article
Eldwaik, O., & Li, F. (2018). Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method. Technologies, 6(1), https://doi.org/10.3390/technologies6010019

Wind induced noise is one of the major concerns of outdoor acoustic signal acquisition. It affects many field measurement and audio recording scenarios. Filtering such noise is known to be difficult due to its broadband and time varying nature. In t... Read More about Mitigating wind induced noise in outdoor microphone signals using a singular spectral subspace method.

Microphone wind noise reduction using singular spectrum analysis techniques (2017)
Presentation / Conference
Eldwaik, O., & Li, F. (2017, November). Microphone wind noise reduction using singular spectrum analysis techniques. Presented at 33nd Annual Conference And Exhibition. Reproduced Sound 2017 : Sound Quality By Design, Nottingham, UK

Wind noise is a known problem that contaminates microphone signals in many field measurement and audio recording scenarios. A recently completed EPSRC project has led to the development of a tool to detect such noise; this paper takes a step further... Read More about Microphone wind noise reduction using singular spectrum analysis techniques.

Mitigating wind noise in outdoor microphone signals using a singular spectral subspace method (2017)
Presentation / Conference
Eldwaik, O., & Li, F. (2017, August). Mitigating wind noise in outdoor microphone signals using a singular spectral subspace method. Presented at IEEE, Seventh International Conference on Innovative Computing Technology (INTECH 2107), Luton, UK

Wind noise is one of the major concerns of outdoor microphone signal acquisition. Filtering and removal of wind noise are known to be difficult due to its broadband and time varying nature. This paper proposes the use of singular spectrum analysis to... Read More about Mitigating wind noise in outdoor microphone signals using a singular spectral subspace method.

Robust speaker verification in reverberant conditions using estimated acoustic parameters : a maximum likelihood estimation and training on the fly approach (2017)
Presentation / Conference
Yousif, K., & Li, F. (2017, August). Robust speaker verification in reverberant conditions using estimated acoustic parameters : a maximum likelihood estimation and training on the fly approach. Presented at 7th International Conference on Innovative Computing Technology (INTECH 2017), Luton, UK

Speaker recognition has been developed into a relatively mature state over the past few decades through continuous research and development work. Existing methods typically use the robust features extracted from noise and reverberation free speech si... Read More about Robust speaker verification in reverberant conditions using estimated acoustic parameters : a maximum likelihood estimation and training on the fly approach.

Training "on the fly" to improve the performance of speaker recognition in noisy environments (2017)
Book Chapter
Al-Noori, A., Duncan, P., & Li, F. (2017). Training "on the fly" to improve the performance of speaker recognition in noisy environments. In Proceedings: 2017 AES International Conference on Audio Forensics. Audio Engineering Society

Reliability of Speaker Recognition (SR) is crucial for critical applications, especially in adverse acoustic conditions. Ambient noises and their variations represent a significant challenge for such applications. In this paper, a new technique is... Read More about Training "on the fly" to improve the performance of speaker recognition in noisy environments.

Perception and automated assessment of audio quality in user generated content (2016)
Conference Proceeding
quality in user generated content. In Quality of Multimedia Experience (QoMEX), 2016 Eighth International Conference on 6-8 June 2016. https://doi.org/10.1109/QoMEX.2016.7498974

Technology to record sound, available in personal devices such as smartphones or video recording devices, is now ubiquitous. However, the production quality of the sound on this user-generated content is often very poor: distorted, noisy, with garble... Read More about Perception and automated assessment of audio quality in user generated content.