Sathees Kumar Nataraj

Bio: Sathees Kumar Nataraj is an academic researcher from Universiti Malaysia Perlis. The author has contributed to research in topics: Feature extraction & Callistephus chinensis. The author has an hindex of 5, co-authored 19 publications receiving 172 citations. Previous affiliations of Sathees Kumar Nataraj include AMA International University & International University, Cambodia.

Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model

Abstract: Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our daily life, nevertheless variability in speech makes these spoken language technologies relatively difficult. One of the profound variability is accent. By classifying accent types, different models could be developed to handle SI-ASR. In this paper, we classified three accents in English language recorded from three main ethnicities in Malaysia namely Malay, Chinese and Indian using artificial neural network model. All experiments were performed in speaker-independent and three most accent-sensitive words-independent modes. Mel-bands spectral energy was extracted from eighteen bands taking the statistical values of each speech sample i.e. mean, standard deviation, kurtosis and the ratio of standard deviation to kurtosis to characterize the spectral energy distribution. The system was evaluated using independent test dataset, partial-independent test dataset and training dataset. The best three-class accuracy rate of 99.01% with independent test dataset was obtained. The overall accuracy rate for several trials was averaged to 96.79% with the average learning time at 49 epochs.

Character Association and Path Co-efficient Analysis in F2 Segregating Population of Cross “Arka Kamini x PG Violet” in China Aster (Callistephus chinensis [L.] Nees)

Abstract: China aster [Callistephus chinensis (L.) Nees], belonging to the family Asteraceae, is most popular annual flowering plant grown throughout the world. In India, it is grown traditionally for its loose flowers, cut flowers, in arranging in vase, floral decorations, making garlands and venis. It is extensively grown in Karnataka, Tamil Nadu, West Bengal and Maharashtra by marginal and small farmers.

Medical Instrumentation Application And Design

Abstract: Thank you for reading medical instrumentation application and design. Maybe you have knowledge that, people have search hundreds times for their favorite books like this medical instrumentation application and design, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some infectious bugs inside their laptop. medical instrumentation application and design is available in our digital library an online access to it is set as public so you can get it instantly. Our digital library hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the medical instrumentation application and design is universally compatible with any devices to read.

Automated power management strategy for wind power generation system using pitch angle controller

Abstract: In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to ...