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Now showing items 11-19 of 19
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 ...
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 ...
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 ...
Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)
The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ...
Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
(SpringerLink, 2008-06-25)
Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic ...
Automatic detection of voice disorders using self loop architecture in back propagation network
(Anna University, 2008-01-04)
Acoustic analysis is a non-invasive technique to detect the voice disorders and diagnose the vocal and voice disease. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice ...
Application of feedforward neural network for the classification of pathological voices
(Universiti Teknologi MARA (UiTM), 2007-03-09)
This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ...
Diagnosis of voice disorders using band energy spectrum in wavelet domain
(Universiti Malaysia Perlis (UniMAP), 2008-03-08)
In the evolution of quality of speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. Vocal signal information plays an important ...
Patients tremble analysis under different camera placement in critical care
(Science Academy, 2011-03)
This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care
Unit (ICU). In this research we have considered the facial changes most widely represented by eyes and mouth ...