To date, little research has been done in emotion classification and recognition in speech. Therefore, there is a need to discuss why this topic is interesting and present a system for classifying and recognizing emotions through speech using neural networks through this article. The proposed system will be speaker independent since a database of speech samples will be used. Various classifiers will used to differentiate emotions such as neutral, anger, happy, sad, etc. The database will consist of emotional speech samples. Prosodic features like pitch, energy, formant frequencies and spectral features like mel frequency cepstral coefficients will be used in the system. Further the classifiers will be trained by using these features for classifying emotions accurately. Following classification, these features will be used to recognize the emotion of the speech sample. Thus, many components like pre-processing of speech, MFCC features, classifiers, prosodic features come together in the implementation of emotion recognition system using speech.

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Plants and herbs are used extensively for therapeutic purposes to treat number of diseases and ailments. In India almost 44 % of the total 17000 native species of flora, are medicinal plants. The purpose of our study was to brief out some of the important yet lesser known medicinal plants. The study was conducted to review the effectiveness of some of these plants and the uses associated with them. The plants that are considered in the study have no relation amongst them. Also there were no specific criteria for which any of these plants were taken into consideration. Various research papers from several publications were extracted out from web and the searches was limited to research articles from last five years only and the articles were then further shortlisted so as to summarize them for the review.