This paper starts with a description of the present status of the Digital Library of India Initiative. As part of this initiative large corpus of scanned text is available in many Indian languages and has stimulated a...This paper starts with a description of the present status of the Digital Library of India Initiative. As part of this initiative large corpus of scanned text is available in many Indian languages and has stimulated a vast amount of research in Indian language technology briefly described in this paper. Other than the Digital Library of India Initiative which is part of the Million Books to the Web Project initiated by Prof Raj Reddy of Carnegie Mellon University, there are a few more initiatives in India towards taking the heritage of the country to the Web. This paper presents the future directions for the Digital Library of India Initiative both in terms of growing collection and the technical challenges in managing such large collection poses.展开更多
Support vector machine(SVM)has a good application prospect for speech recognition problems;still optimum parameter selection is a vital issue for it.To improve the learning ability of SVM,a method for searching the op...Support vector machine(SVM)has a good application prospect for speech recognition problems;still optimum parameter selection is a vital issue for it.To improve the learning ability of SVM,a method for searching the optimal parameters based on integration of predator prey optimization(PPO)and Hooke-Jeeves method has been proposed.In PPO technique,population consists of prey and predator particles.The prey particles search the optimum solution and predator always attacks the global best prey particle.The solution obtained by PPO is further improved by applying Hooke-Jeeves method.Proposed method is applied to recognize isolated words in a Hindi speech database and also to recognize words in a benchmark database TI-20 in clean and noisy environment.A recognition rate of 81.5%for Hindi database and 92.2%for TI-20 database has been achieved using proposed technique.展开更多
文摘This paper starts with a description of the present status of the Digital Library of India Initiative. As part of this initiative large corpus of scanned text is available in many Indian languages and has stimulated a vast amount of research in Indian language technology briefly described in this paper. Other than the Digital Library of India Initiative which is part of the Million Books to the Web Project initiated by Prof Raj Reddy of Carnegie Mellon University, there are a few more initiatives in India towards taking the heritage of the country to the Web. This paper presents the future directions for the Digital Library of India Initiative both in terms of growing collection and the technical challenges in managing such large collection poses.
文摘Support vector machine(SVM)has a good application prospect for speech recognition problems;still optimum parameter selection is a vital issue for it.To improve the learning ability of SVM,a method for searching the optimal parameters based on integration of predator prey optimization(PPO)and Hooke-Jeeves method has been proposed.In PPO technique,population consists of prey and predator particles.The prey particles search the optimum solution and predator always attacks the global best prey particle.The solution obtained by PPO is further improved by applying Hooke-Jeeves method.Proposed method is applied to recognize isolated words in a Hindi speech database and also to recognize words in a benchmark database TI-20 in clean and noisy environment.A recognition rate of 81.5%for Hindi database and 92.2%for TI-20 database has been achieved using proposed technique.
