Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Mirna Adriani"'
Publikováno v:
IEEE Access, Vol 8, Pp 179798-179812 (2020)
This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages. DNN-based system typically requires a large amount of training data. In recent years, while
Externí odkaz:
https://doaj.org/article/9a68402e86984b9d8c52cec2298d2fbb
Publikováno v:
Jurnal Ilmu Komputer dan Informasi, Vol 11, Iss 1, Pp 34-41 (2018)
Someone's understanding and stance on a particular controversial topic can be influenced by daily news or articles he consume everyday. Unfortunately, readers usually do not realize that they are reading controversial articles. In this paper, we addr
Externí odkaz:
https://doaj.org/article/c044820d5dca4dc7942dc95909677cb2
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031237928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c60618a309624e2f53bc6f4d71659b
https://doi.org/10.1007/978-3-031-23793-5_6
https://doi.org/10.1007/978-3-031-23793-5_6
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Autor:
Mirna Adriani, Kurniawati Azizah
Publikováno v:
2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS).
This research develops end-to-end deep learning-based text-to-speech (TTS) in Indonesian, Javanese, and Sundanese. While end-to-end neural TTS, such as Tacotron-2, has made remarkable progress recently, it still suffers from a data scarcity problem f
Publikováno v:
Journal of Applied Research and Technology. 18
Social media data has become popular resources for various research topic such as public health. One of the popular research directions is to use social media data to detect if there is an epidemic disease emerging in a certain area. This paper prese
Autor:
Mirna Adriani, Syandra Sari
Publikováno v:
Proceedings of the 1st International Conference on Advanced Information Science and System.
This work applied word embeddings for English monolingual information retrieval and Dutch-English cross-language information retrieval. Besides word embeddings, this work also applied tf-idf concept to increase result of relevant documents. We presen
Publikováno v:
IALP
This study presents an approach to generate a bilingual language model that will be used for CLIR task. Language models for Bahasa Indonesia and English are created by utilizing a bilingual parallel corpus, and then the bilingual language model is cr
Autor:
Mirna Adriani
Publikováno v:
2019 International Conference on Advanced Computer Science and information Systems (ICACSIS).
Autor:
Mei Silviana Saputri, Mirna Adriani
Publikováno v:
2019 International Conference on Advanced Computer Science and information Systems (ICACSIS).
Local languages are the most widely used as communication media in the daily conversations of Indonesian people. Preserving those local languages is crucial, especially for maintaining language and cultural identities. However, the variety of local l