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Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
(Elsevier Ltd, 2012-08)
A cry is the first verbal communication of infants and it is described as a loud, high-pitched sound made by infants in response to certain situations. Infant cry signals can be used to identify physical or psychological ...
Automatic classification of infant cry: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
This paper reviews the some of significant works on infant cry signal analysis proposed in the past two decades and reviews the recent progress in this field. The cry of baby cannot be predicted accurately where it is very ...
Assimilate the auditory scale with wavelet packet filters for multistyle classification of speech under stress
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Nowadays, people are having high stress level due to highworkload stress, emergency phone call and multitasking. Emotional/stress of a person affects his/her performance in daily
life and speech production. The research ...
Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
(Springer Science+Business Media, LLC., 2012)
Developing tools to assist physically disabled and immobilized people through facial expression is a challenging area of research and has attracted many researchers recently. In this paper, luminance stickers based facial ...
A review: Malay speech recognition and audio visual speech recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ...
Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network
(Springer Science+Business Media, LLC., 2012)
Acoustic analysis of infant cry signals has been proven to be an excellent tool in the
area of automatic detection of pathological status of an infant. This paper investigates
the application of parameter weighting for ...
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
(Elsevier Ireland Ltd., 2012-11)
Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and ...
Human Affective (Emotion) behaviour analysis using speech signals: A review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Affective (Emotional) state of a person is very important in medical application due to the fact that it can indicate the stress level of an individual. This can be done through manipulating the speech signal of
individual ...
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 ...
Time-domain features and probabilistic neural network for the detection of vocal fold pathology
(Universiti Malaya, 2010)
Due to the nature of job, unhealthy social habits and voice abuse, people are subjected to the risk of voice problems. It is well known that most of vocal fold pathologies cause changes in the acoustic voice signal. ...