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All Outputs (16)

Detection of Osteoporosis from Percussion Responses Using an Electronic Stethoscope and Machine Learning (2018)
Journal Article

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

Extracting room reverberation time from speech using artificial neural networks (2001)
Journal Article
Cox, T., Li, F., & Darlington, P. (2001). Extracting room reverberation time from speech using artificial neural networks. Journal of the Audio Engineering Society, 49(4), 219-230

A novel method to extract the reverberation time from reverberated speech utterances is presented. In this study, speech utterances are restricted to pronounced digits; uncontrolled discourse is not considered. The reverberation times considered are... Read More about Extracting room reverberation time from speech using artificial neural networks.