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This paper proposes tone model enhancement for low complexity tone recognition. The tone model reduces the number of input frames by estimating fundamental frequency (F0) from only estimated vowel signals, called vowel magnitude difference function, vowel-MDF (VMDF). Accordingly, it reduces F0 negative influence from neighboring syllables in continuous speech. We enhance tone recognition accuracy...
A tone classifier is an essential part of an automatic tonal speech recognizer (ATSR) because tonal languages recognize word meaning by tones. However, many researchers have developed a highly efficient tone recognition by using rich mathematical techniques and used the whole input speech as an input of pitch detection process. This paper proposes a reduced complexity tone classifier for the automatic...
Tone classification function is used for improving recognition accuracy in tonal speech recognizer (TONE-SPEC). Although average magnitude difference function (AMDF) is generally used to find pitch period of fundamental frequency, there are many frame-repeated processes. This paper proposes scalable architecture of tone classification function for tonal speech recognizer. In the proposed architecture,...
Exudates detection in fundus image using non-uniform illumination background subtraction is proposed in this paper. Non-uniform illumination background that is the major problem of fundus imagge processing is need to be eliminated. Weighted surface fitting is used in fundus image background estimation after image compensation is performed. The unwanted data for fundus image background estimation Le...
Vessel segmentation is very important in an automatic screening system for fundus images. Vessels are often segmented and removed from retinal images before the other residual lesions are detected. Incomplete vessel removal usually causes a false positive in lesion detection, especially for Microaneurysms detection. Segmenting vessels in spatial image domain makes miss detection due to non illumination...
Tonsillitis disease is the cause of heart attack and pneumonia. It is also a sign of suspected symptom of heart disease. To improve data transfer rates, this paper proposes VLSI architecture by using color model for early-state tonsillitis detection. In this method, input image is divided into 9 blocks. Each block has 3times3 window which send color data and pixel address to computation box. The system...
In an architecture of speech recognition for some languages (such as Thai, Chinese, and so on) that tone plays a key role in meaning classification, tone detection function is required in order to guarantee a correct word recognition. This paper proposes an architecture of HMM-based isolated-word speech recognition with tone detection function. In this architecture, tone detection function is added...
In this paper, we present a new technology device for help some blind people to perceive banknote and coin by voice. The system contains 2 sections: hardware and software. The hardware consists of 3 main parts: input part, processing part, and output part. The input part will get image from the camera (CMUcam1). The processing part uses a microcontroller MCS-51 for classify banknote and coin. The...
This paper proposes a method of image interpolation by estimation and deconvolution of wavelet approximate subband. In this method, wavelet approximate subband that contains much information is firstly interpolated by interpolation methods such as cubic spline in order to find the decimated low-pass component of the image. The low-pass component is then deconvoluted for getting the original image...
Shape of single microcalcifications (muCa++s) and distribution of them in a cluster are two key features for a radiologist to diagnose this abnormality appearing on mammograms into benign type or malignant type of breast cancer. These two features from two-dimensional (2-D) mammogram image from two mammographic views, cranio-caudad view (CC) and medio-lateral oblique view (MLO), are inevitable conflicted...
A backward wavelet transform (BWT) based image interpolation method, which consists of the estimation of an undecimated approximate subband and the deconvolution operation to the estimation result by solving simultaneous linear equations (SLE), is described in this paper. Our BWT means that the inverse step of wavelet transform (WT) by convolution operation and down sampling is utilized obtaining...
Automatic classification of normal mammograms, which constitute a majority of screening mammograms, is a new approach to computer-aided diagnosis of breast cancer. This approach may be limited, however, by non-separable "crossed" distributions of features that are extracted from digitized mammograms. This work presents a method of mapping such non-separable input features into a new set...
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