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354 results on '"Dutta, Indranil"'

51. Formic Acid to Power towards Low‐Carbon Economy

Author

Dutta, Indranil, primary, Chatterjee, Sudipta, additional, Cheng, Hongfei, additional, Parsapur, Rajesh Kumar, additional, Liu, Zhaolin, additional, Li, Zibiao, additional, Ye, Enyi, additional, Kawanami, Hajime, additional, Low, Jonathan Sze Choong, additional, Lai, Zhiping, additional, Loh, Xian Jun, additional, and Huang, Kuo‐Wei, additional

Published
2022
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53. Is Attention Always Needed? A Case Study on Language Identification from Speech

Author

Mandal, Atanu, Pal, Santanu, Dutta, Indranil, Bhattacharya, Mahidas, and Naskar, Sudip Kumar

Subjects
Signal Processing (eess.SP), FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Machine Learning, History, Computer Science - Computation and Language, Polymers and Plastics, Computer Science - Sound, Industrial and Manufacturing Engineering, Machine Learning (cs.LG), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Business and International Management, Computation and Language (cs.CL), Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Language Identification (LID), a recommended initial step to Automatic Speech Recognition (ASR), is used to detect a spoken language from audio specimens. In state-of-the-art systems capable of multilingual speech processing, however, users have to explicitly set one or more languages before using them. LID, therefore, plays a very important role in situations where ASR based systems cannot parse the uttered language in multilingual contexts causing failure in speech recognition. We propose an attention based convolutional recurrent neural network (CRNN with Attention) that works on Mel-frequency Cepstral Coefficient (MFCC) features of audio specimens. Additionally, we reproduce some state-of-the-art approaches, namely Convolutional Neural Network (CNN) and Convolutional Recurrent Neural Network (CRNN), and compare them to our proposed method. We performed extensive evaluation on thirteen different Indian languages and our model achieves classification accuracy over 98%. Our LID model is robust to noise and provides 91.2% accuracy in a noisy scenario. The proposed model is easily extensible to new languages.

Published
2022

62. Health inequality and non-monotonicity of the health related social welfare function: A rejoinder

Author

Dutta, Indranil

Subjects
Equality -- Social aspects, Social service -- Social aspects, Business, Economics, Health care industry
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jhealeco.2006.11.002 Byline: Indranil Dutta (a)(b) Keywords: Health inequality; Non-monotonicity; Social welfare function Abstract: This rejoinder demonstrates that the arguments made in AT (2006) are not robust and the case against non-monotonic HRSWF and their empirics remain overwhelming. Author Affiliation: (a) UNU-WIDER, Helsinki, Finland (b) Department of Economics, University of Sheffield, Sheffield, UK Article History: Received 1 November 2006; Accepted 14 November 2006

Published
2007

93. Efficient and chemoselective hydrogenation of aldehydes catalyzed by well-defined PN3–pincer manganese(II) catalyst precursors: an application in furfural conversion.

Author

Gholap, Sandeep Suryabhan, Dakhil, Abdullah Al, Chakraborty, Priyanka, Li, Huaifeng, Dutta, Indranil, Das, Pradip K., and Huang, Kuo-Wei

Subjects
FURFURAL, ALDEHYDES, BIOMASS chemicals, MANGANESE, HYDROGENATION, FURFURYL alcohol
Abstract

Well-defined and air-stable PN3–pincer manganese(II) complexes were synthesized and used for the hydrogenation of aldehydes into alcohols under mild conditions using MeOH as a solvent. This protocol is applicable for a wide range of aldehydes containing various functional groups. Importantly, α,β-unsaturated aldehydes, including ynals, are hydrogenated with the C＝C double bond/C≡C triple bond intact. Our methodology was demonstrated for the conversion of biomass derived feedstocks such as furfural and 5-formylfurfural to furfuryl alcohol and 5-(hydroxymethyl)furfuryl alcohol respectively. [ABSTRACT FROM AUTHOR]

Published
2021
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94. Nutrient Consumption in India:Evidence from a Village Study

Author

Dutta, Indranil, Kapoor, Shruti, and Pattanaik, Prasanta K.

Subjects
Public Distribution System, Endogeneity, Macro nutrients, India, Micro nutrients, Nutrition
Abstract

Adequate nutrition is one of the basic requirements for survival and is generally regarded as a core dimension in any evaluation of well-being. In the context of India, a country with high prevalence of poor nutrition, there is a dearth of nutrition studies with adequate coverage and comparability. Using primary data on food consumption from a village in a poorer state of India, we study the consumption of key nutrients, namely, calories, protein, carbohydrate, calcium and iron. Investigating the determinants of nutrition intake, we find evidence of consumption smoothing. By correcting for potential endogeneity in both expenditure and consumption of subsidised food through the Public Distribution System (PDS) we demonstrate a causal link from expenditure and the availability of subsidised food grains to nutritional intake. We also find evidence that other individual characteristics such as gender and occupation have an important role to play as determinants of nutrition.

Published
2019

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