Institution
Indian Institute of Technology Kharagpur
Education•Kharagpur, India•
About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.
Topics: Computer science, Dielectric, Natural rubber, Microstructure, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: This paper focuses on the solution procedure of the multiobjective transportation problem (MOTP) where the cost coefficients of the objective functions, and the source and destination parameters have been expressed as interval values by the decision maker.
149 citations
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TL;DR: The results indicate that, the recognition performance using local Prosodic features is better compared to the performance of global prosodic features.
Abstract: In this paper, global and local prosodic features extracted from sentence, word and syllables are proposed for speech emotion or affect recognition. In this work, duration, pitch, and energy values are used to represent the prosodic information, for recognizing the emotions from speech. Global prosodic features represent the gross statistics such as mean, minimum, maximum, standard deviation, and slope of the prosodic contours. Local prosodic features represent the temporal dynamics in the prosody. In this work, global and local prosodic features are analyzed separately and in combination at different levels for the recognition of emotions. In this study, we have also explored the words and syllables at different positions (initial, middle, and final) separately, to analyze their contribution towards the recognition of emotions. In this paper, all the studies are carried out using simulated Telugu emotion speech corpus (IITKGP-SESC). These results are compared with the results of internationally known Berlin emotion speech corpus (Emo-DB). Support vector machines are used to develop the emotion recognition models. The results indicate that, the recognition performance using local prosodic features is better compared to the performance of global prosodic features. Words in the final position of the sentences, syllables in the final position of the words exhibit more emotion discriminative information compared to the words and syllables present in the other positions.
149 citations
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TL;DR: Findings of the research suggest that the transgenic tobacco plants overexpressing OsMTP1 with its hyperaccumulating activity and increased growth rate could be useful for future phytoremediation applications to clean up the Cd-contaminated soil.
149 citations
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TL;DR: In this paper, the adsorption characteristics of sodium dodecyl sulfate (SDS) on neutral alumina were studied in detail, and the optimum adsorbent dose and equilibrium time found were 120g/l and 1h, respectively.
149 citations
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TL;DR: The absorbed gamma dose rate levels of Chhatrapur beach area were similar to the monazite sand-bearing high background radiation areas of southern and southwestern coastal tracts of India and other similar areas of the world.
148 citations
Authors
Showing all 17290 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajdeep Mohan Chatterjee | 110 | 990 | 51407 |
Vijay P. Singh | 106 | 1699 | 55831 |
Arun Majumdar | 102 | 459 | 52464 |
Sanjay Gupta | 99 | 902 | 35039 |
Biswajeet Pradhan | 98 | 735 | 32900 |
Sandeep Kumar | 94 | 1563 | 38652 |
Jürgen Eckert | 92 | 1368 | 42119 |
Praveen Kumar | 88 | 1339 | 35718 |
Tuan Vo-Dinh | 86 | 698 | 24690 |
Lawrence Carin | 84 | 949 | 31928 |
Anindya Dutta | 82 | 248 | 33619 |
Aniruddha B. Pandit | 80 | 427 | 22552 |
Krishnendu Chakrabarty | 79 | 996 | 27583 |
Ramesh Jain | 78 | 556 | 37037 |
Thomas Thundat | 78 | 622 | 22684 |