Browsing Hariharan Muthusamy, Dr. by Subject "kNN"
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Classification of speech dysfluencies with MFCC and LPCC features
(Elsevier Ltd., 2012-02)The goal of this paper is to discuss comparison of speech parameterization methods: Mel-Frequency Cepstrum Coefficients (MFCC) and Linear Prediction Cepstrum Coefficients (LPCC) for recognizing the stuttered events. Speech ... -
Discrete wavelet transform in recognition human emotional movement through knocking
(IEEE Conference Publications, 2013)Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in ... -
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
(Elsevier Inc, 2013-05)Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ... -
Wavelet based approach for the investigation of vision impairments using single trial VEPs
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)Visually evoked potential (VEP) is being widely used for the investigation of vision abnormalities. The signals are recorded using non-invasive EEG electrodes from the Occipital Cortex while a subject is presented with a ...