Outputs (8)

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.

Improving robustness of speaker recognition in noisy and reverberant conditions via training (2015)
Book Chapter
Al-Noori, A., Al-Karawi, K., & Li, F. (2015). Improving robustness of speaker recognition in noisy and reverberant conditions via training. In 2015 European Intelligence and Security Informatics Conference (180-180). IEEE. https://doi.org/10.1109/EISIC.2015.20

Speaker recognition can be used as a security means to authenticate the speaker or as a forensic tool to determine who is likely to be the talker. For such critical applications, robustness or reliability of the system is crucial. In spite of the dev... Read More about Improving robustness of speaker recognition in noisy and reverberant conditions via training.

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.

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.

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.

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 system for semantic information extraction from mixed soundtracks deploying MARSYAS framework
Book Chapter
Mohammed, D., Duncan, P., Al-Maathidi, M., & Li, F. A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework. In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) (1084-1089). IEEE. https://doi.org/10.1109/INDIN.2015.7281886

Ever increasing volumes of media content and the desire to extract information from media archives motivate the studies into semantic audio information mining. Much research in this filed concerns development of bespoke systems, in which sound tracks... Read More about A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework.