All Outputs (47)

Role of independent component analysis in intelligent ECG signal processing (2014)
Thesis
Sarfraz, M. Role of independent component analysis in intelligent ECG signal processing. (Thesis). University of Salford

The Electrocardiogram (ECG) reflects the activities and the attributes of the human heart and
reveals very important hidden information in its structure. The information is extracted by
means of ECG signal analysis to gain... Read More about Role of independent component analysis in intelligent ECG signal processing.

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 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 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.

Blind estimation of reverberation parameters for non-diffuse rooms (2007)
Journal Article
Kendrick, P., Li, F., Cox, T., Zhang, Y., & Chambers, J. (2007). Blind estimation of reverberation parameters for non-diffuse rooms. Acta acustica united with Acustica, 93(5), 760-770

Reverberation time is an important objective parameter for the acoustics of enclosed spaces. Blind estimation of the reverberation time from naturally occurring sound sources alleviates the logistical constraints of traditional measurement methods, a... Read More about Blind estimation of reverberation parameters for non-diffuse rooms.

A neural network model for speech intelligibility quantification (2007)
Journal Article
Li, F., & Cox, T. (2007). A neural network model for speech intelligibility quantification. Applied Soft Computing, 7(1), 145-155. https://doi.org/10.1016/j.asoc.2005.05.002

A neural network based model is developed to quantify speech intelligibility by blind-estimating speech transmission index, an objective rating index for speech intelligibility of transmission channels, from transmitted speech signals without resort... Read More about A neural network model for speech intelligibility quantification.

Room acoustic parameter extraction from music signals (2006)
Journal Article
Kendrick, P., Cox, T., Zhang, Y., Chambers, J., & Li, F. (2006). Room acoustic parameter extraction from music signals. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing, 5, V-801. https://doi.org/10.1109/ICASSP.2006.1661397

A new method, employing machine learning techniques and a modified low frequency envelope spectrum estimator, for estimating important room acoustic parameters including reverberation time (RT) and early decay time (EDT) from received music signals h... Read More about Room acoustic parameter extraction from music signals.

Hidden auxiliary media channels in audio signals by perceptually insignificant component replacement (2005)
Presentation / Conference
Jackson, T., Li, F., & Yates, K. (2005, July). Hidden auxiliary media channels in audio signals by perceptually insignificant component replacement. Presented at 2005 IEEE International Conference on Multimedia and Expo, Amsterdam, The Netherlands

This paper proposes a method for the formation of an auxiliary media channel within a host signal. Using a psychoacoustic frequency masking model, perceptually insignificant subband components of the host audio signal are identified and removed. The... Read More about Hidden auxiliary media channels in audio signals by perceptually insignificant component replacement.

Handwriting authentication by envelopes of sound signature (2004)
Presentation / Conference
Li, F. (2004, August). Handwriting authentication by envelopes of sound signature. Presented at 17th International Conference on Pattern Recognition, 2004. ICPR 2004., Cambridge, United Kingdom

Frictions between a rigid-nib pen and paper result in audible sounds that are correlated with the dynamics of writing. Such writing-sounds were previously used as a biometric identity to achieve writer authentication. This paper presents an alternati... Read More about Handwriting authentication by envelopes of sound signature.

Speech Transmission Index from running speech : a neural network approach (2003)
Journal Article
Li, F., & Cox, T. (2003). Speech Transmission Index from running speech : a neural network approach. ˜The œJournal of the Acoustical Society of America (Online), 113(4), 1999-2008. https://doi.org/10.1121/1.1558373

Speech Transmission Index (STI) is an important objective parameter concerning speech intelligibility for sound transmission channels. It is normally measured with specific test signals to ensure high accuracy and good repeatability. Measurement with... Read More about Speech Transmission Index from running speech : a neural network approach.

A neural network for blind identification of speech transmission index (2003)
Journal Article
Li, F., & Cox, T. (2003). A neural network for blind identification of speech transmission index. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing, 2, II-757. https://doi.org/10.1109/ICASSP.2003.1202477

A hybrid neural network model is proposed to determine the speech transmission index of a transmission channel from transmitted speech signals without resort to prior knowledge of original speech. It comprises a Hilbert transform pre-processor, a PCA... Read More about A neural network for blind identification of speech transmission index.

Extracting room acoustic parameters from received speech signals using artificial neural networks (2002)
Thesis
Li, F. Extracting room acoustic parameters from received speech signals using artificial neural networks. (Thesis). University of Salford

Quantitative room acoustics over a century has accumulated a knowledge base centred around objective acoustic parameters. Realistic and accurate measurements are essential in room acoustics. Occupied measurements are difficult to undertake with curre... Read More about Extracting room acoustic parameters from received speech signals using artificial neural networks.