Software Bantu Pembuka Aplikasi Pada Dekstop Berbasis Voice Recognition
Abstract
Keywords
Full Text:
PDFReferences
Su Myat M, Hia Myo T, "Speech-To-Text Conversion (STT) System Using Hidden Markov Model (HMM)", 2015, International Journal Of Scientific & Technology Research (IJSTR), Vol 4, pp.349-352. June 2015.
Mousmita Sarma, Kandarpa Kumar S, "Acoustic Modeling of Speech Signal using Arti?cial Neural Network", IGI Global, pp. 287-304, June 2015, doi: 10.4018/978-1-4666-8493-5.ch012.
Jianliang Meng, Junwei Zhang and Haoquan Zhao, “Overview of the Speech Recognition Technology”, International Conference on Computational and Information Sciences (ICCIS), pp. 199-202, 2012, doi: 10.1109/ICCIS.2012.202
Sani M .Isa, "Speech Recognition", 2019, https://mti.binus.ac.id/2019/05/08/speech-recognition/ (accessed Jan. 8, 2020).
Manoj Kumar S, Omendri K, "Speech Recognition: A Review", International Journal of Advanced Networking and Applications (IJANA), pp.62-71, 2014
Florian Schulz, “Speech Recognition for Java/Processing”, https://florianschulz.info/stt/ (accessed Jan. 8, 2020).
Soewito, B., Christian, Gunawan, F. E., Diana, & Kusuma, I. G. P, “Websocket to Support Real Time Smart Home Applications”, International Conference on Computer Science and Computational Intelligence (ICCSCI), pp.260-266, September 2019, doi:10.1016/j.procs.2019.09.014
DOI: https://doi.org/10.31284/p.snestik.2021.1690
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Akuwan Saleh
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.