All Outputs (4)

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.

Microphone handling noise : measurements of perceptual threshold and effects on audio quality (2015)
Journal Article

A psychoacoustic experiment was carried out to test the effects of microphone handling noise on perceived audio quality. Handling noise is a problem affecting both amateurs using their smartphones and cameras, as well as professionals using separate... Read More about Microphone handling noise : measurements of perceptual threshold and effects on audio quality.

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.