Empowering indigenous communities in India through the use of design thinking methods

The project explored how user-led design research methods such as design thinking can be used to engage with, and empower indigenous communities in rural India, with a focus on how to improve their health and well-being. The project was a collaboration with researchers from Amrita Vishwa Vidyapeetham in India; villagers from indigenous tribal communities in the Kerala State of India; medical doctors and healthcare workers who work in these rural communities; and experts in eHealth solutions. The design thinking methods used in the project are based on many of the key principles of indigenous research methods, but also put a strong emphasis on how to generate impact by considering solutions that are desirable, feasible and viable. The project included ethnographic field work in three tribal villages in the Wayanad district of Kerala; participatory workshops to help discover and develop new ideas to meet the health needs of the indigenous tribal communities; and reflections by tribal villagers and healthcare workers on the benefits of the project, as well as limitations and on-going challenges. This paper documents the approach taken in the project and the lessons learnt - in particular, how design thinking methods and techniques can be effectively used to engage with indigenous communities in a respectful manner, to ensure equitable partnership, and to enable the mobilization of knowledge to help improve the health and well-being of indigenous communities in India

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consortium into NIST SRE series of evaluation. The primary objective of the current paper is to summarize the results and lessons learned based on the twelve sub-systems and their fusion submitted to SRE'18. It is also our intention to present a shared view on the advancements, progresses, and major paradigm shifts that we have witnessed as an SRE participant in the past decade from SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigm shift from supervector representation to deep speaker embedding, and a switch of research challenge from channel compensation to domain adaptation.Comment: 5 page