Bibliography As you gather the sources for your Wikipedia contribution, think about the following: Is the source from a reliable publication? Reliable publications include established newspapers, academic journals and books, textbooks, and other published sources with reputations for accuracy and fact-checking. Unreliable sources include blog posts and other self-published works, press releases, and social media posts. Is the source verifiable? In order for a source to be considered verifiable, other editors should be able to consult the source. Is the source independent of the subject? Is the source connected in any way to the subject? This is especially important when writing biographies or about organizations. For example, if you were writing a biography, sources like the person's webpage or personal blog would not be considered independent. Is the source primary or secondary? Primary sources include first-hand accounts, autobiographies, and other original content. Wikipedia allows limited use of primary sources, but typically only for straightforward, descriptive statements of facts, and only if they are published and verifiable without requiring specialized knowledge. Secondary sources should be the main basis for a biography on Wikipedia. If you're working on a topic related to medicine or psychology, ensure that your sources follow these special guidelines. If you're creating a new article, consider the following: Ensure that your topic meets Wikipedia's notability guidelines. In order for a topic to meet the notability requirement, you must be able to identify 2-3 sources that are reliable, verifiable, and independent of the subject you're writing about. Finding sufficient sources to establish notability can be especially hard when writing about people or organizations. Sources that are not independent of the subject might be useful additions, but don't count towards the notability requirement. Wikipedia has developed special guidelines for writing about living persons. Please follow these carefully. Wikipedia has a series of guidelines for writing about different categories of people, such as academics and artists. If you're trying to create a new entry about a living person, please look at these carefully. If you're not sure whether a source is reliable, ask a librarian! If you have questions about Wikipedia's sourcing rules, you can use the Get Help button below to contact your Wikipedia Expert. Get Help

This is where you will compile the bibliography for your Wikipedia assignment. Add the name and/or notes about what each source covers, then use the "Cite" button to generate the citation for that source.

• Subha Fernando, Koichi Yamada, and Ashu Marasinghe. 2010. Neuroscience inspired architecture for neural computing. In Proceedings of the 13th International Conference on Humans and Computers (HC '10). University of Aizu Press, Fukushima-ken, JPN, 100–105.^[1]
  • This is a research article talks about new architecture being proposed for neural computing.
• Yuka Akinobu, Momoka Obara, Teruno Kajiura, Shiho Takano, Miyu Tamura, Mayu Tomioka, and Kimio Kuramitsu. 2021. Is neural machine translation approach accurate enough for coding assistance? In Proceedings of the 1st ACM SIGPLAN International Workshop on Beyond Code: No Code (BCNC 2021). Association for Computing Machinery, New York, NY, USA, 23–28. ^[2]
  • This is a research article that talks about on how coding assistance with deep learning has been an emerging concern that has recently attracted attention from the coding development community.
• Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, and Minje Kim. 2022. Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE/ACM Trans. Audio, Speech and Lang. Proc. 30 (2022), 12–25. https://doi-org.proxylib.csueastbay.edu/10.1109/TASLP.2021.3129353^[3]
  • This is an article that talks about conventional neural network performing encoding and decoding as a neural waveroom codec.

1:Subha Fernando, Koichi Yamada, and Ashu Marasinghe. 2010. Neuroscience inspired architecture for neural computing. In Proceedings of the 13th International Conference on Humans and Computers (HC '10). University of Aizu Press, Fukushima-ken, JPN, 100–105.

2: Yuka Akinobu, Momoka Obara, Teruno Kajiura, Shiho Takano, Miyu Tamura, Mayu Tomioka, and Kimio Kuramitsu. 2021. Is neural machine translation approach accurate enough for coding assistance? In Proceedings of the 1st ACM SIGPLAN International Workshop on Beyond Code: No Code (BCNC 2021). Association for Computing Machinery, New York, NY, USA, 23–28. https://doi-org.proxylib.csueastbay.edu/10.1145/3486949.3486966

3: Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, and Minje Kim. 2022. Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE/ACM Trans. Audio, Speech and Lang. Proc. 30 (2022), 12–25. https://doi-org.proxylib.csueastbay.edu/10.1109/TASLP.2021.3129353