@inproceedings{755,
  keywords = {Coders and encoders, Culture, Deep learning, Fish farming, heritage, Natural language processing, Synthesizers},
  author = {Prasad Vadamodula and R. Cristin and T. Daniya},
  title = {Design and Development of a Digital Preservation Voice Enabled Application for Cultural Heritage Towards Fishing in Vernacular Language},
  abstract = {This research is about intangible cultural heritage towards fishing, fisherman and its missing traditional culture. This research makes us to build the scope for understanding the cultivation of selected fishes or small fish farms with confirmed areas through fishing experts and their recorded documentaries. The documented content is translated into local languages of the surrounding states of Andhra Pradesh like Telangana, Chhattisgarh, Maharashtra, Odisha, Karnataka and Tamil Nadu which has water resources Inland for fish farming in a traditional way and make them available in the web portals. Here, the human expert is the fisherman who has well knowledge about the seasons, fishes and its types and the confirmed places, of their availability. This research targets to build and enlighten the life of the fisherman based on social and economic needs in this current society by building an aquatic ecosystem.},
  year = {2023},
  volume = {475},
  pages = {295-308},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  school = {Springer Science and Business Media Deutschland GmbH},
  isbn = {23673370 (ISSN); 9789811928390 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137998788&doi=10.1007%2f978-981-19-2840-6_23&partnerID=40&md5=53ad1fc63962a93387b886c3aa5ed631},
  doi = {10.1007/978-981-19-2840-6_23},
  note = {Journal Abbreviation: Lect. Notes Networks Syst. Pages: 308 Publication Title: Lect. Notes Networks Syst.},
  language = {English},
}