All Outputs (16)

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.

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.

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.

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.

Robustness of speaker recognition from noisy speech samples and mismatched languages (2016)
Presentation / Conference
Al-Noori, A., Li, F., & Duncan, P. (2016, June). Robustness of speaker recognition from noisy speech samples and mismatched languages. Presented at 140th Convention-AES, Paris

Speaker recognition systems can typically attain high performance in ideal conditions. However, significant degradations in accuracy are found in channel-mismatched scenarios. Non-stationary environmental noises and their variations are listed at the... Read More about Robustness of speaker recognition from noisy speech samples and mismatched languages.

Audio content feature selection and classification : a random forests and decision tree approach (2015)
Presentation / Conference
AI-Maathidi, M., & Li, F. (2015, December). Audio content feature selection and classification : a random forests and decision tree approach. Presented at IEEE International Conference on Progress in Informatics and Computing (PIC), Nanjing, China

Content information can be extracted from soundtracks of multimedia files. A good audio classifier as a preprocessor is crucial in such applications. Efforts have been made to develop effective and efficient audio content classifiers in which feat... Read More about Audio content feature selection and classification : a random forests and decision tree approach.

Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses (2015)
Presentation / Conference
Mohammed, D., Duncan, P., & Li, F. (2015, August). Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses. Presented at Global Summit and Expo on Multimedia & Applications, Birmingham, UK

Soundtracks of multimedia files are information rich, from which much content-related metadata can be extracted. There is a pressing demand for automated classification, identification and information mining of audio content. A segment of the audio s... Read More about Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses.

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.

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.

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.

Estimation of intelligibility from received arbitrary speech signals with support vector machine
Presentation / Conference
Li, F. Estimation of intelligibility from received arbitrary speech signals with support vector machine. Presented at 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, China

Intelligibility, a vital concern of a speech transmission channel, is quantified using speech transmission index (STI). The standard STI method relies on noisy test signals and thus hinders in-use measurements. Alternative methods to accurately estim... Read More about Estimation of intelligibility from received arbitrary speech signals with support vector machine.

Speech intelligibility of VoIP to PSTN interworking - a key index for the QoS
Presentation / Conference
Li, F. Speech intelligibility of VoIP to PSTN interworking - a key index for the QoS. Presented at Telecommunications Quality of Services: The Business of Success, 2004. QoS 2004. IEE

Intelligibility is an important concern of speech transmission channels. The paper addresses speech intelligibility issues in the VoIP to PSTN interworking context, discusses the complexity of quantifying speech intelligibility, and advocates speech... Read More about Speech intelligibility of VoIP to PSTN interworking - a key index for the QoS.

EMC of power suppliers for telecommunications by design - a computational approach
Presentation / Conference
Li, F. EMC of power suppliers for telecommunications by design - a computational approach. Presented at Telecommunications Energy Conference, 2001. INTELEC 2001. Twenty-Third International

This paper proposes a simplified computational method for estimating radiated electromagnetic interference (EMI) from power supply units (PSUs) and then inversely applies it to design problems. Practical considerations are centered on PSUs used in mo... Read More about EMC of power suppliers for telecommunications by design - a computational approach.

Audio information extraction from arbitrary sound recordings
Presentation / Conference
Duncan, P., Mohammed, D., & Li, F. Audio information extraction from arbitrary sound recordings. Presented at 22nd International Congress on Sound and Vibration (ICSV22), Florence, Italy

Numerous archives of entertainment soundtracks and other recordings such as environmental noise samples have imposed a big data challenge in audio related industries. This necessitates the use of machine audition and retrieval tools to extract semant... Read More about Audio information extraction from arbitrary sound recordings.