Real-Time Indonesian Language Speech Recognition with MFCC Algorithms and Python-Based SVM
Wening Mustikarini(1), Risanuri Hidayat(2*), Agus Bejo(3)
(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(3) Universitas Gadjah Mada
(*) Corresponding Author
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K. Precoda, “Non-mainstream Languages and Speech Recognition: Some Challenges,” CALICO Journal, Vol. 21, No. 2, pp. 229-243, 2004.
E. Cahyaningtyas and D. Arifianto, “Development of Under-resourced Bahasa Indonesia Speech Corpus,” Asia-Pacific Signal and Information
Processing Association Annual Summit and Conference (APSIPA ASC), 2017, pp. 1097-1101.
A. Winursito, “Peningkatan Akurasi Pengenalan Tutur Vokal Bahasa Indonesia Menggunakan Algoritma MFCC PCA/SVD,” Magister thesis, Universitas Gadjah Mada, Yogyakarta, Indonesia, 2018.
S.S. Stevens, J. Volkmann, and E.B. Newman, “A Scale for the Measurement of the Psychological Magnitude Pitch,” Journal of the Acoustical Society of America, Vol. 8, No. 3, pp. 185-190, 1937.
T. Hastie, R. Tibshirani, and J.H. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, New York, USA: Springer, 2001.
DOI: https://doi.org/10.22146/ijitee.49426
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