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Here, evaluate the abasement in execution of well known and effective face detector when human captured picture quality is corrupted by additive gaussian noise and blur. It is observed that, inside a specific scope of recognized picture quality, an adequate increase in picture quality can improve face detection performance. These results can be utilized to guide data transfer capacity which regards...
Speech is natural vocalized and primary means of communication. Speech is easy, hand-free, fast and do not require any technical knowledge. Communicating with computer using speech is simple and comfortable way for human being. Speech recognition system made this possible. The acoustic and language model for this system are available but mostly in English language. In India there are so many peoples...
The psychological disorders are generally appears in society. The prediction of such disorder is necessary in day to day life. Electroencephalogram (EEG) signal is neuronal activity of brain. A brain signal plays an important role for human disposition detection. EEG signals are non-linear in nature. In this paper, EEG signals are classified into four emotional states such as happy, angry, cry and...
This paper presents a review on few notable speech recognition models that are reported in the last decade. Firstly, the models are categorized into sparse models, learning models and domain - specific models. Subsequently, the characteristics of the models have been observed using speech constraints, algorithmic constraints and performance constraints. The performance of these models reported in...
Human emotion recognition is a hot research topic in medical and engineering field to provide interface between users and computers. A novel technique for Feature Extraction (FE) has been presented here. This method is feasible for analyzing the nonlinear and non-stationary signals like electrocardiogram signal (ECG), Electromyogram (EMG) etc. We have used electrocardiogram signal as an input, each...
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