Implementation of Adaptive Neural Fuzzy Inference Systems (Anfis) For Speech Recognition Applications In Smart Home Control

Penulis

  • Roni Permana Department of Primary Teacher Education, Faculty of Teacher Training and Education, Universitas Mandiri, Subang 41211, Indonesia
  • Mada Sanjaya WS Department of Physics, Faculty of Science and Technology, UIN Sunan Gunung Djati, Bandung, Indonesia
  • Hasniah Aliah Department of Physics, Faculty of Science and Technology, UIN Sunan Gunung Djati, Bandung, Indonesia

Kata Kunci:

MFCC, ANFIS, Signal Processing Digital, Signal Processing, Control Systems

Abstrak

Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information. Digital Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information in digital form. The speech control system is very efficient. Speech signals are signals that change over time at a relatively slow speed. If observed at short intervals (between 5 and 100 miles per second), the practical characteristics are constant, but if observed at longer intervals, the characteristics appear to change according to the sentences spoken. This study uses the signal pattern recognition method with the MFCC and ANFIS methods as learning. The performance results of the entire system obtained an accuracy value with 6 feature extractions in 2 respondents, namely 65% ​​-72.5% and the smarthome control system worked well.

Referensi

Cropley, D. H., Kaufman, J. C., & Cropley, A. (2011). Measuring creativity for innovation management. Journal of Technology Management and Innovation, 6(3), 13-30.

De Breu, C. K. W., Nijstad, B. A., Bechtoldt, M. N., & Baas, M. (2011). Group creativity and innovation: A motivated information processing perspective. Psychology of Aesthetics, Creativity and the Arts, 5(1), 81-89.

Dionne, S. D. (2008). Social influence, creativity and innovation: boundaries, brackets and non-linearity. In M. D. Mumford, S. T. Hunter, & K. E. Bedell-Avers (Eds.), Multi-Level issues in creativity and innovation: Research in multi-level issues (pp.63-73). Amsterdam: JAI Press.

Feuer, A. (2011). Developing foreign language skills, competence and identity through a collaborative creative writing project. Language, Culture and Curriculum, 24(2), 125-139.

Ghonsooly, B., & Showqi, S., (2012). The effects of foreign language learning on creativity. English Language Teaching, 5(4), 161-167.

Luk, J. (2013). Bilingual language plan and local creativity in Hong Kong. International Journal of Multilingualism, 10(3), 236-250.

Romero, M., Hyvönen, P., & Barbera E. (2012). Creativity in collaborative learning across the life span. Scientific Research, 3(4), 422-429.

Schulz, B. (2011). Syntactic creativity in second language English: wh-scope marking in Japanese-English interlanguage. Second Language Research, 27(2), 313-341.

Unduhan

Diterbitkan

2024-12-06

Cara Mengutip

Roni Permana, Mada Sanjaya WS, & Hasniah Aliah. (2024). Implementation of Adaptive Neural Fuzzy Inference Systems (Anfis) For Speech Recognition Applications In Smart Home Control. TIME in Physics, 2(2), 77–84. Diambil dari http://ejournal.universitasmandiri.ac.id/index.php/timeinphys/article/view/143

Terbitan

Vol 2 No 2 (2024): September

Bagian

Articles

Lisensi

Hak Cipta (c) 2024 Roni Permana, Mada Sanjaya WS, Hasniah Aliah

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