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.

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.

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.

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.

Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance (2015)
Journal Article
A. Al-Karawi, K., H. Al-Noori, A., Li, F., & Ritchings, T. (2015). Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance. International journal of information and electronics engineering (Singapore : Online), 5(6), 423-427. https://doi.org/10.7763/IJIEE.2015.V5.571

Speaker recognition has been developed and evolved over the past few decades into a supposedly mature technique. Existing methods typically utilize robust features
extracted from clean speech. In real-world applications,
especially security and for... Read More about Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance.

Perceived audio quality of sounds degraded by non-linear distortions and single-ended assessment using HASQI (2015)
Journal Article
assessment using HASQI. Journal of the Audio Engineering Society, 63(9), 698-712. https://doi.org/10.17743/jaes.2015.0068

For field recordings and user generated content recorded on phones, tablets, and other mobile
devices nonlinear distortions caused by clipping and limiting at pre-amplification stages, and
dynamic range control (DRC) are common causes of poor audio... Read More about Perceived audio quality of sounds degraded by non-linear distortions and single-ended assessment using HASQI.

Improving headphone user experience in ubiquitous multimedia content consumption : a universal cross-feed filter (2015)
Presentation / Conference
Li, F. (2015, June). Improving headphone user experience in ubiquitous multimedia content consumption : a universal cross-feed filter. Presented at IEEE BMSB 2015, Ghent, Belgium

High performance audio and video codecs and ever
increasing bandwidths of data communications networks have
enabled multi-platform delivery of high definition media content
via transmission channels such as terrestrial broadcast,
broadband IP net... Read More about Improving headphone user experience in ubiquitous multimedia content consumption : a universal cross-feed filter.

Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts (2015)
Journal Article
Sarfraz, M., Li, F., & Khan, A. (2015). Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts. Journal of medical and bioengineering, 4(3), 221-226. https://doi.org/10.12720/jomb.4.3.221-226

Electrocardiogram (ECG) signals are affected by various kinds of noise and artifacts that may impede correct recognition by automated monitoring or diagnosis systems. Independent component analysis (ICA) is considered as a new technique suitable for... Read More about Independent Component Analysis Methods to Improve Electrocardiogram Patterns Recognition in the Presence of Non-Trivial Artifacts.

Microphone handling noise database (2015)
Dataset
Kendrick, P., Jackson, I., Fazenda, B., Cox, T., & Li, F. Microphone handling noise database. [Dataset]

Microphone handling noise can reduce the quality of audio recordings. A perceptual study into this effect has been carried out and the subjective response quantified. This database contains audio recordings of handling noises from 8 different micro... Read More about Microphone handling noise database.

Perception and automatic detection of wind-induced microphone noise (2014)
Journal Article
Jackson, I., Kendrick, P., Cox, T., Fazenda, B., & Li, F. (2014). Perception and automatic detection of wind-induced microphone noise. ˜The œJournal of the Acoustical Society of America (Online), 136(3), 1176-1186. https://doi.org/10.1121/1.4892772

Wind can induce noise on microphones, causing problems for users of hearing aids and for those making recordings outdoors. Perceptual tests in the laboratory and via the Internet were carried out to understand what features of wind noise are importan... Read More about Perception and automatic detection of wind-induced microphone noise.

Automatic detection of microphone handling noise (2014)
Presentation / Conference
Kendrick, P., Cox, T., Li, F., Fazenda, B., & Jackson, I. (2014, May). Automatic detection of microphone handling noise. Presented at 4th International Workshop on Cognitive Information Processing, Copenhagen, Denmark

Microphone handling noise is a common problem with user generated content. It can occur when the operator
inadvertently knocks or brushes a recording device.
Handling noise may be impulsive, where a microphone is
knocked, or a more sustained rubbi... Read More about Automatic detection of microphone handling noise.

Audio information mining pragmatic review, outlook and a universal open architecture (2014)
Presentation / Conference
Duncan, P., Mohammed, D., & Li, F. (2014, April). Audio information mining pragmatic review, outlook and a universal open architecture. Presented at Audio Engineering Society 136th Convention, Berlin

There is an immense amount of audio data available currently whose content is unspecified and the problem of classification and generation of metadata poses a significant and challenging research problem. We present a review of past and current work... Read More about Audio information mining pragmatic review, outlook and a universal open architecture.

Soft-computing audio classification as a pre-processor for automated content descriptor generation (2014)
Journal Article
Li, F. (2014). Soft-computing audio classification as a pre-processor for automated content descriptor generation. International journal of computer and communication engineering (Online), 3(2), 101-104. https://doi.org/10.7763/IJCCE.2014.V3.300

Soundtracks of multimedia files are information
rich sources, from which much content-related information and
metadata can be extracted. There exist many individual
algorithms for the recognition and analysis of speech, music or
event sounds, all... Read More about Soft-computing audio classification as a pre-processor for automated content descriptor generation.

Using independent component analysis to obtain feature space for reliable ECG Arrhythmia classification (2014)
Book Chapter
Sarfraz, M., Khan, A., & Li, F. (2014). Using independent component analysis to obtain feature space for reliable ECG Arrhythmia classification. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (62-67). IEEE. https://doi.org/10.1109/BIBM.2014.6999249

Electrocardiogram (ECG) reflects the activities of the human heart and reveals hidden information on its structure and behaviour. The information is extracted to gain insights that assist explanation and identification of diverse pathological conditi... Read More about Using independent component analysis to obtain feature space for reliable ECG Arrhythmia classification.

Independent component analysis for motion artifacts removal from electrocardiogram (2013)
Journal Article
Sarfraz, M., & Li, F. (2013). Independent component analysis for motion artifacts removal from electrocardiogram. Global perspectives on artificial intelligence (Online), 1(4), 49-55

A method of using Independent Component Analysis to remove motion induced artifacts in the signals picked up by ECG electrodes is developed in this paper. In a first aid setting, ECG electrodes on patients cannot always keep stationary, resulting in... Read More about Independent component analysis for motion artifacts removal from electrocardiogram.

A comparative study of ICA algorithms for ECG signal processing (2011)
Book Chapter
Sarfraz, M., Li, F., & Javed, M. (2011). A comparative study of ICA algorithms for ECG signal processing. In ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence (135-138). ACM Digital Library. https://doi.org/10.1145/2007052.2007079

Electro Cardiogram (ECG) signals are affected by various kinds of noise and artifacts that may hide important information of interest. Independent component analysis is a new technique suitable for separating independent component from ECG complexes.... Read More about A comparative study of ICA algorithms for ECG signal processing.

A cognitive model to mimic an aspect of low level perception of sound : modelling reverberation perception by statistical signal analysis (2011)
Book Chapter
Li, F. (2011). A cognitive model to mimic an aspect of low level perception of sound : modelling reverberation perception by statistical signal analysis. In Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on 16-18 Dec. 2011 (348-351). IEEE. https://doi.org/10.1109/IBICA.2011.92

Sound reproduced and perceived in different environments, or transmitted via diverse transmission channels shows distinctive acoustic characteristics, sometimes quoted simply as acoustics. Acoustics of an auditorium can be described by the transfer f... Read More about A cognitive model to mimic an aspect of low level perception of sound : modelling reverberation perception by statistical signal analysis.

Sound-based multimodal person identification from signature and voice (2010)
Book Chapter
Li, F. (2010). Sound-based multimodal person identification from signature and voice. In Internet Monitoring and Protection (ICIMP), 2010 Fifth International Conference on 9-15 May 2010 (84-88). IEEE. https://doi.org/10.1109/ICIMP.2010.18

Person identification as a security means has a variety of important applications. Many techniques and automated systems have been developed over the past few decades; each has its own advantages and limitations. There are often trade-offs amongst re... Read More about Sound-based multimodal person identification from signature and voice.

Intelligent and adaptive acoustics in buildings via blind room acoustic parameter estimation (2010)
Book Chapter
Li, F. (2010). Intelligent and adaptive acoustics in buildings via blind room acoustic parameter estimation. In 2010 2nd International Conference on Computer Engineering and Technology (V3-663). IEEE. https://doi.org/10.1109/ICCET.2010.5485761

From an architectural acoustics perspective multi-purpose enclosures in buildings with variable and adaptive acoustics are difficult to achieve. However, such spaces may become more feasible using amplified sound with the aid of signal processing and... Read More about Intelligent and adaptive acoustics in buildings via blind room acoustic parameter estimation.

A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction (2008)
Journal Article
Zhang, Y., Chambers, J., Kendrick, P., Cox, T., & Li, F. (2008). A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction. Neurocomputing, 71(10-12), 2127-2139. https://doi.org/10.1016/j.neucom.2007.09.019

Room acoustic parameters such as reverberation time (RT) can be extracted from passively received speech signals by certain ‘blind’ methods, thereby mitigating the need for good controlled excitation signals or prior information of the room geometry.... Read More about A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction.