Garima Vyas

Learn More
Image enhancement is used to produce high quality pictures like Medical images. As the quality of the image is very much depends on environmental effects like light, weather or equipment that we used to capture the picture, images may loose important information which is required to enhance the quality of an image. So we have many techniques to recover the(More)
In this paper, the proficiency of continuous Hidden Markov Models to recognize emotions from speech signals has been investigated. Unlike the existing work which considers prosodic features for automatic emotion recognition, this work proposes the effectiveness of the phonetic features of speech particularly, Mel-Frequency Cepstral Coefficients which(More)
Malaria is responsible for nearly 438,000 deaths worldwide in a year. A total of 214 million cases of malaria are encountered annually. The conventional method for testing malaria is through microscopy. A blood sample of the patient is spread over a glass slide, stained with Giemsa stain and examined under a microscope. It takes a few hours and a highly(More)
This paper describes a method to detect repeating segments in an audio signal by using dynamic time warping algorithm. The proposed framework extracts features from frames of the audio by Mel frequency cepstral coefficients. The features extracted from the audio clip of the chorus were matched against the features of the whole clip by dynamic time warping.(More)
Since images will constitute a large part of future wireless data, we focus in this paper on developing energy efficient, computing efficient and adaptive image compression and communication techniques. Based on a popular image compression algorithm, namely, wavelet image compression. In this method I propose an implementation of discrete-time wavelet(More)
This paper proposes a method of identifying the mood underlying a piece of music by extracting suitable and robust features from music clip. To recognize the mood, K-means clustering and global thresholding was used. Three features were amalgamated to decide the mood tag of the musical piece. Mel frequency cepstral coefficients, frame energy and peak(More)
Radiographic imaging is essential in diagnosis, treatment planning and follow-up in endodontic. The new 3D imaging technologies like cone-beam computed tomography (CBCT) that are available in dental practice shows great promise in this field as it makes possible the extraction of the dental root canal shape information. CBCT reduces the radiation exposed on(More)
Automatic identification of bird species based on the chirping sounds of birds was experimented using feature extraction method and classification based on support vector machines (SVMs). The proposed technique followed the extraction of cepstral features on mel scale of each audio recording from the collected standard database. Extracted mel frequency(More)
To diagnose and classify the dysarthric speech, speech language pathologist (SLP) conducts a listening test. On the basis of the scores given by listeners the dysarthria is diagnosed and assessed. The above mentioned method is costly, time consuming and not very accurate. Unlike the traditional method, this research proposes an automatic diagnosis and(More)