Speech network analysis and anomaly detection based on FSS model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Link
http://link.springer.com/content/pdf/10.1007/s10772-020-09731-w.pdf
Reference25 articles.
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2. Deka, A., Sarmah, P., Samudravijaya, K. & Prasanna, S.R.M. (2019). Development of assamese text-to-speech system using deep neural network. In 2019 National Conference on Communications (NCC) (pp. 1–5). IEEE.
3. Deng, X., Li, Y., Weng, J., & Zhang, J. (2019). Feature selection for text classification: A review. Multimedia Tools and Applications, 78(3), 3797–3816.
4. Ekberg, S., Danby, S., Theobald, M., Fisher, B., & Wyeth, P. (2019). Using physical objects with young children in ‘face-to-face’and telehealth speech and language therapy. Disability and Rehabilitation, 41(14), 1664–1675.
5. Faizin, B., Ramdhani, M.A., Gunawan, W., & Gojali, D. (2018). Speech acts analysis in Whatsapp status updates. In International Conference on Media and Communication Studies (ICOMACS 2018). Atlantis Press.
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