{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:46Z","timestamp":1750220266592,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,29]]},"DOI":"10.1145\/3530190.3534795","type":"proceedings-article","created":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T16:21:57Z","timestamp":1656087717000},"page":"364-374","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Use of Metric Learning for the Recognition of Handwritten Digits, and its Application to Increase the Outreach of Voice-based Communication Platforms"],"prefix":"10.1145","author":[{"given":"Devesh","family":"Pant","sequence":"first","affiliation":[{"name":"IIT Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dibyendu","family":"Talukder","sequence":"additional","affiliation":[{"name":"Gram Vaani, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Kumar","sequence":"additional","affiliation":[{"name":"Gram Vaani, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachit","family":"Pandey","sequence":"additional","affiliation":[{"name":"Gram Vaani, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaditeshwar","family":"Seth","sequence":"additional","affiliation":[{"name":"IIT Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chetan","family":"Arora","sequence":"additional","affiliation":[{"name":"IIT Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN). Sensors 20, 12","author":"Ahlawat Savita","year":"2020","unstructured":"Savita Ahlawat , Amit Choudhary , Anand Nayyar , Saurabh Singh , and Byungun Yoon . 2020. Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN). Sensors 20, 12 ( 2020 ). https:\/\/doi.org\/10.3390\/s20123344 10.3390\/s20123344 Savita Ahlawat, Amit Choudhary, Anand Nayyar, Saurabh Singh, and Byungun Yoon. 2020. Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN). Sensors 20, 12 (2020). https:\/\/doi.org\/10.3390\/s20123344"},{"key":"e_1_3_2_2_2_1","volume-title":"Factors Influencing Roll-Out of an m-Health Intervention in India: Results from a Dynamic and Responsive Process Evaluation. Current Developments in Nutrition 4 (06","author":"Avula Rasmi","year":"2020","unstructured":"Rasmi Avula , Purnima Menon , Sumati Bajaj , Sneha Mani , Nitya George , Lakshmi Gopalakrishnan , Sumeet Patil , Sneha Nimmagadda , Nadia Diamond-Smith , Lia Fernald , and Dilys Walker . 2020. Factors Influencing Roll-Out of an m-Health Intervention in India: Results from a Dynamic and Responsive Process Evaluation. Current Developments in Nutrition 4 (06 2020 ), 801\u2013801. https:\/\/doi.org\/10.1093\/cdn\/nzaa053_006 10.1093\/cdn Rasmi Avula, Purnima Menon, Sumati Bajaj, Sneha Mani, Nitya George, Lakshmi Gopalakrishnan, Sumeet Patil, Sneha Nimmagadda, Nadia Diamond-Smith, Lia Fernald, and Dilys Walker. 2020. Factors Influencing Roll-Out of an m-Health Intervention in India: Results from a Dynamic and Responsive Process Evaluation. Current Developments in Nutrition 4 (06 2020), 801\u2013801. https:\/\/doi.org\/10.1093\/cdn\/nzaa053_006"},{"key":"e_1_3_2_2_3_1","unstructured":"Giorgia Barboni Erica Field Rohini Pande Natalia Rigol Simone Schaner and Charity\u00a0Troyer Moore. 2018. A Tough Call: Understanding barriers to and impacts of women\u2019s mobile phone adoption in India. 49\u00a0pages. http:\/\/epod.cid.harvard.edu\/sites\/default\/files\/2018-10\/A_Tough_Call.pdf  Giorgia Barboni Erica Field Rohini Pande Natalia Rigol Simone Schaner and Charity\u00a0Troyer Moore. 2018. A Tough Call: Understanding barriers to and impacts of women\u2019s mobile phone adoption in India. 49\u00a0pages. http:\/\/epod.cid.harvard.edu\/sites\/default\/files\/2018-10\/A_Tough_Call.pdf"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287098.3287110"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2160601.2160605"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2160601.2160605"},{"key":"#cr-split#-e_1_3_2_2_7_1.1","unstructured":"Xiaoxue Chen Lianwen Jin Yuanzhi Zhu Canjie Luo and Tianwei Wang. 2020. Text Recognition in the Wild: A Survey. https:\/\/doi.org\/10.48550\/ARXIV.2005.03492 10.48550\/ARXIV.2005.03492"},{"key":"#cr-split#-e_1_3_2_2_7_1.2","unstructured":"Xiaoxue Chen Lianwen Jin Yuanzhi Zhu Canjie Luo and Tianwei Wang. 2020. Text Recognition in the Wild: A Survey. https:\/\/doi.org\/10.48550\/ARXIV.2005.03492"},{"key":"e_1_3_2_2_8_1","volume-title":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905)","volume":"1","author":"Chopra S.","year":"2005","unstructured":"S. Chopra , R. Hadsell , and Y. LeCun . 2005. Learning a similarity metric discriminatively, with application to face verification . In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905) , Vol.\u00a01. 539\u2013546 vol. 1 . https:\/\/doi.org\/10.1109\/CVPR. 2005 .202 10.1109\/CVPR.2005.202 S. Chopra, R. Hadsell, and Y. LeCun. 2005. Learning a similarity metric discriminatively, with application to face verification. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), Vol.\u00a01. 539\u2013546 vol. 1. https:\/\/doi.org\/10.1109\/CVPR.2005.202"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Gregory Cohen Saeed Afshar Jonathan Tapson and Andr\u00e9 van Schaik. 2017. EMNIST: an extension of MNIST to handwritten letters. arxiv:1702.05373\u00a0[cs.CV]  Gregory Cohen Saeed Afshar Jonathan Tapson and Andr\u00e9 van Schaik. 2017. EMNIST: an extension of MNIST to handwritten letters. arxiv:1702.05373\u00a0[cs.CV]","DOI":"10.1109\/IJCNN.2017.7966217"},{"key":"e_1_3_2_2_10_1","volume-title":"Presented","author":"Population Council","year":"2019","unstructured":"Population Council , Project\u00a0Concern International , Gram Vaani , Bill, and Melinda\u00a0Gates Foundation . Presented in April 2019 . JEEViKA Mobile Vaani: Lessons Learned and Structure for Scale-up . https:\/\/bit.ly\/2XOxadU. Population Council, Project\u00a0Concern International, Gram Vaani, Bill, and Melinda\u00a0Gates Foundation. Presented in April 2019. JEEViKA Mobile Vaani: Lessons Learned and Structure for Scale-up. https:\/\/bit.ly\/2XOxadU."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/1833358318777713"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2160601.2160604"},{"key":"#cr-split#-e_1_3_2_2_13_1.1","unstructured":"Yuning Du Chenxia Li Ruoyu Guo Xiaoting Yin Weiwei Liu Jun Zhou Yifan Bai Zilin Yu Yehua Yang Qingqing Dang and Haoshuang Wang. 2020. PP-OCR: A Practical Ultra Lightweight OCR System. https:\/\/doi.org\/10.48550\/ARXIV.2009.09941 10.48550\/ARXIV.2009.09941"},{"key":"#cr-split#-e_1_3_2_2_13_1.2","unstructured":"Yuning Du Chenxia Li Ruoyu Guo Xiaoting Yin Weiwei Liu Jun Zhou Yifan Bai Zilin Yu Yehua Yang Qingqing Dang and Haoshuang Wang. 2020. PP-OCR: A Practical Ultra Lightweight OCR System. https:\/\/doi.org\/10.48550\/ARXIV.2009.09941"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjinnov-2019-000402"},{"volume-title":"Multiple View Geometry in Computer Vision(2 ed.)","author":"Hartley Richard","key":"e_1_3_2_2_15_1","unstructured":"Richard Hartley and Andrew Zisserman . 2003. Multiple View Geometry in Computer Vision(2 ed.) . Cambridge University Press , USA. Richard Hartley and Andrew Zisserman. 2003. Multiple View Geometry in Computer Vision(2 ed.). Cambridge University Press, USA."},{"key":"e_1_3_2_2_16_1","volume-title":"The first 100 days: how has COVID-19 affected poor and vulnerable groups in India?Health Promotion International (05","author":"Johri Mira","year":"2021","unstructured":"Mira Johri , Sumeet Agarwal , Aman Khullar , Dinesh Chandra , Vijay\u00a0Sai Pratap , Aaditeshwar Seth , and the Gram Vaani\u00a0Team . 2021. The first 100 days: how has COVID-19 affected poor and vulnerable groups in India?Health Promotion International (05 2021 ). https:\/\/doi.org\/10.1093\/heapro\/daab050 arXiv:https:\/\/academic.oup.com\/heapro\/advance-article-pdf\/doi\/10.1093\/heapro\/daab050\/37949360\/daab050.pdfdaab050. 10.1093\/heapro Mira Johri, Sumeet Agarwal, Aman Khullar, Dinesh Chandra, Vijay\u00a0Sai Pratap, Aaditeshwar Seth, and the Gram Vaani\u00a0Team. 2021. The first 100 days: how has COVID-19 affected poor and vulnerable groups in India?Health Promotion International (05 2021). https:\/\/doi.org\/10.1093\/heapro\/daab050 arXiv:https:\/\/academic.oup.com\/heapro\/advance-article-pdf\/doi\/10.1093\/heapro\/daab050\/37949360\/daab050.pdfdaab050."},{"key":"e_1_3_2_2_17_1","volume-title":"Deep Metric Learning: A Survey. Symmetry 11, 9","author":"Mahmut","year":"2019","unstructured":"Mahmut KAYA and Hasan\u00a0\u015eakir B\u0130LGE. 2019. Deep Metric Learning: A Survey. Symmetry 11, 9 ( 2019 ). https:\/\/doi.org\/10.3390\/sym11091066 10.3390\/sym11091066 Mahmut KAYA and Hasan\u00a0\u015eakir B\u0130LGE. 2019. Deep Metric Learning: A Survey. Symmetry 11, 9 (2019). https:\/\/doi.org\/10.3390\/sym11091066"},{"key":"e_1_3_2_2_18_1","volume-title":"Costs and Benefits of Conducting Voice-Based Surveys Versus Keypress-Based Surveys on Interactive Voice Response Systems. In ACM SIGCAS Conference on Computing and Sustainable Societies","author":"Khullar Aman","year":"2021","unstructured":"Aman Khullar , Priyadarshi Hitesh , Shoaib Rahman , Deepak Kumar , Rachit Pandey , Praveen Kumar , Rajeshwari Tripathi , Prince Prince , Ankit\u00a0Akash Jha , Himanshu Himanshu , and Aaditeshwar Seth . 2021 . Costs and Benefits of Conducting Voice-Based Surveys Versus Keypress-Based Surveys on Interactive Voice Response Systems. In ACM SIGCAS Conference on Computing and Sustainable Societies ( Virtual Event, Australia) (COMPASS \u201921). Association for Computing Machinery, New York, NY, USA, 288\u2013298. https:\/\/doi.org\/10.1145\/3460112.347 1963 10.1145\/3460112.3471963 Aman Khullar, Priyadarshi Hitesh, Shoaib Rahman, Deepak Kumar, Rachit Pandey, Praveen Kumar, Rajeshwari Tripathi, Prince Prince, Ankit\u00a0Akash Jha, Himanshu Himanshu, and Aaditeshwar Seth. 2021. Costs and Benefits of Conducting Voice-Based Surveys Versus Keypress-Based Surveys on Interactive Voice Response Systems. In ACM SIGCAS Conference on Computing and Sustainable Societies (Virtual Event, Australia) (COMPASS \u201921). Association for Computing Machinery, New York, NY, USA, 288\u2013298. https:\/\/doi.org\/10.1145\/3460112.3471963"},{"key":"e_1_3_2_2_19_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2017","unstructured":"Diederik\u00a0 P. Kingma and Jimmy Ba . 2017 . Adam : A Method for Stochastic Optimization . arxiv:1412.6980\u00a0[cs.LG] Diederik\u00a0P. Kingma and Jimmy Ba. 2017. Adam: A Method for Stochastic Optimization. arxiv:1412.6980\u00a0[cs.LG]"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_2_21_1","unstructured":"Yann LeCun and Corinna Cortes. 2010. MNIST handwritten digit database. http:\/\/yann.lecun.com\/exdb\/mnist\/. (2010). http:\/\/yann.lecun.com\/exdb\/mnist\/  Yann LeCun and Corinna Cortes. 2010. MNIST handwritten digit database. http:\/\/yann.lecun.com\/exdb\/mnist\/. (2010). http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2021.114291"},{"key":"e_1_3_2_2_24_1","unstructured":"Kevin Musgrave Serge\u00a0J. Belongie and Ser-Nam Lim. 2020. A Metric Learning Reality Check. CoRR abs\/2003.08505(2020). arXiv:2003.08505https:\/\/arxiv.org\/abs\/2003.08505  Kevin Musgrave Serge\u00a0J. Belongie and Ser-Nam Lim. 2020. A Metric Learning Reality Check. CoRR abs\/2003.08505(2020). arXiv:2003.08505https:\/\/arxiv.org\/abs\/2003.08505"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/WMCSA.2006.7"},{"key":"e_1_3_2_2_26_1","volume-title":"Mobile Technology Integrated into a Large-Scale Nutrition Program Enables Age-Appropriate Home Visits and Counseling for Mothers of Infants in India. Current Developments in Nutrition 4 (06","author":"Patil Sumeet","year":"2020","unstructured":"Sumeet Patil , Sneha Nimmagadda , Lakshmi Gopalakrishnan , Rasmi Avula , Sumati Bajaj , Nadia Diamond-Smith , Lia Fernald , Purnima Menon , and Dilys Walker . 2020. Mobile Technology Integrated into a Large-Scale Nutrition Program Enables Age-Appropriate Home Visits and Counseling for Mothers of Infants in India. Current Developments in Nutrition 4 (06 2020 ), 886\u2013886. https:\/\/doi.org\/10.1093\/cdn\/nzaa053_091 10.1093\/cdn Sumeet Patil, Sneha Nimmagadda, Lakshmi Gopalakrishnan, Rasmi Avula, Sumati Bajaj, Nadia Diamond-Smith, Lia Fernald, Purnima Menon, and Dilys Walker. 2020. Mobile Technology Integrated into a Large-Scale Nutrition Program Enables Age-Appropriate Home Visits and Counseling for Mothers of Infants in India. Current Developments in Nutrition 4 (06 2020), 886\u2013886. https:\/\/doi.org\/10.1093\/cdn\/nzaa053_091"},{"key":"e_1_3_2_2_27_1","volume-title":"Pen and Digital Slate. ACM International Conference Proceeding Series (12","author":"Ratan Aishwarya","year":"2010","unstructured":"Aishwarya Ratan , Sunandan Chakraborty , Pushkar Chitnis , Kentaro Toyama , Keng Ooi , Matthew Phiong , and Mike Koenig . 2010 . Managing Microfinance with Paper , Pen and Digital Slate. ACM International Conference Proceeding Series (12 2010). https:\/\/doi.org\/10.1145\/2369220.2369255 10.1145\/2369220.2369255 Aishwarya Ratan, Sunandan Chakraborty, Pushkar Chitnis, Kentaro Toyama, Keng Ooi, Matthew Phiong, and Mike Koenig. 2010. Managing Microfinance with Paper, Pen and Digital Slate. ACM International Conference Proceeding Series (12 2010). https:\/\/doi.org\/10.1145\/2369220.2369255"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjinnov-2019-000363"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1002\/itdj.20119"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3392561.3394632"},{"key":"e_1_3_2_2_32_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. arxiv:1409.1556\u00a0[cs.CV]  Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. arxiv:1409.1556\u00a0[cs.CV]"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjgh-2021-005041"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Daksh Thapar Chetan Arora and Aditya Nigam. 2020. Is Sharing of Egocentric Video Giving Away Your Biometric Signature?. In ECCV.  Daksh Thapar Chetan Arora and Aditya Nigam. 2020. Is Sharing of Egocentric Video Giving Away Your Biometric Signature?. In ECCV.","DOI":"10.1007\/978-3-030-58520-4_24"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442882.2442893"},{"key":"#cr-split#-e_1_3_2_2_36_1.1","doi-asserted-by":"crossref","unstructured":"Xiangsheng Zeng Donglai Xiang Liangrui Peng Changsong Liu and Xiaoqing Ding. 2017. Local Discriminant Training and Global Optimization for Convolutional Neural Network Based Handwritten Chinese Character Recognition. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Vol.\u00a001. 382-387. https:\/\/doi.org\/10.1109\/ICDAR.2017.70 10.1109\/ICDAR.2017.70","DOI":"10.1109\/ICDAR.2017.70"},{"key":"#cr-split#-e_1_3_2_2_36_1.2","doi-asserted-by":"crossref","unstructured":"Xiangsheng Zeng Donglai Xiang Liangrui Peng Changsong Liu and Xiaoqing Ding. 2017. Local Discriminant Training and Global Optimization for Convolutional Neural Network Based Handwritten Chinese Character Recognition. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Vol.\u00a001. 382-387. https:\/\/doi.org\/10.1109\/ICDAR.2017.70","DOI":"10.1109\/ICDAR.2017.70"}],"event":{"name":"COMPASS '22: ACM SIGCAS\/SIGCHI Conference on Computing and Sustainable Societies","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGCAS ACM Special Interest Group on Computers and Society"],"location":"Seattle WA USA","acronym":"COMPASS '22"},"container-title":["ACM SIGCAS\/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3530190.3534795","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3530190.3534795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:59Z","timestamp":1750188659000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3530190.3534795"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":39,"alternative-id":["10.1145\/3530190.3534795","10.1145\/3530190"],"URL":"https:\/\/doi.org\/10.1145\/3530190.3534795","relation":{},"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"2022-06-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}