Ahmada, Dipta Nusbangga Haikal (2018) Estimasi F0 Berbasis IFAS. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
2311040000083_Undergraduate-Theses.pdf - Accepted Version Download (5MB) | Preview |
Abstract
Pada penelitian tugas akhir ini, dilakukan eksperimental im-
plementasi metode estimasi F 0 berbasis instantaneous frequency
amplitude spectrum (IFAS) pada sinyal suara (speech). F 0 meru-
pakan frekuensi yang berfungsi mengkarakterisasi struktur har-
monik pada sinyal suara. Dalam implementasinya, F 0 merupakan
frekuensi yang memaksimalkan fungsi evaluasi IFAS. Metode esti-
masi F 0 berbasis IFAS merupakan metode estimasi F 0 yang cukup
handal dan akurat jika dibandingkan metode lainnya, seperti:
cepstrum dan autocorrelation. Di samping itu, dalam implemen-
tasi estimasi F 0 berbasis IFAS, didefinisikan suatu besaran yang
mendeskripsikan keberadaan struktur harmonik dalam sinyal
suara secara kuantitatif, yang disebut sebagai harmonicity mea-
sure. Dalam implementasinya, Harmonicity measure digunakan
selektor yang memilih optimal interval frekuensi yang padanya
fungsi evaluasi diterapkan, sehingga, error estimasi F 0 dapat
direduksi secara substansial.
Pada implementasi estimasi F 0 berbasis IFAS, meskipun har-
monicity measure memberikan hasil yang optimal, namun keber-
adaan representasi struktur harmonik masih belum jelas. Hal ini
ditunjukkan pada hasil representasi struktur harmonik instanta-
neous frequency (IF), dimana, pada transisi frekuensi harmonik
satu ke frekuensi harmonik berikutnya menunjukkan adanya
diskontinuitas. Selain memberikan struktur harmonik yang masih
belum jelas, diskontinuitas pada representasi struktur harmonik,
membatasi interval frekuensi evaluasi. Oleh karena itu, pada
penelitian tugas akhir ini, diusulkan formulasi IF bebasis pada
Gaussian window dengan formulasi IF yang dapat mereduksi
diskontinuitas pada representasi struktur harmonik IF. Hasil dari
IF Gaussian Window diperoleh representasi struktur harmonik
yang lebih jelas. Pengujian dari hasil estimasi F 0 bebasis IFAS
Gaussian window pada database suara yang terdiri dari 2 pria
dan 2 wanita dengan 20 pengucapan, menunjukkan hasil fine
pitch error pria sebesar 6.2934% dan wanita sebesar 4.9833%
dibandingkan dengan metode STRAIGHT.
================================================================================================================== In this final project, experimental implementation of F 0 method based on instantaneous frequency estimation amplitude spectrum (IFAS) on the speech signal. F 0 is a frequency functioning to characterize the harmonic structure of the sound signal. In its implementation, F 0 is frequency that can maximizes IFAS evalua-tion function. The IFAS F 0 estimation method is a sufficient F 0 estimation method reliable and accurate when compared to other methods, such as: cepstrum and utocorrelation. In addition, in the implementation of an IFAS-based F 0 estimate, a value is defined to describe the existence of harmonic structure in the speech signal quantitatively, which is called the harmonicity measure. In
its implementation, Harmonicity measure is used as selector that selects the optimal frequency interval on it evaluation function is applied, so, the estimation error F 0 can be reduced substantially. In the implementation of an IFAS-based F 0 estimate, although the harmonicity measure gives optimal results, the existence of a harmonic structure representation remains unclear. This matter shown in the result of the representation of the instantaneous fre-
quency (IF) harmonic structure, where, at the harmonic frequency transition one to the next harmonic frequency indicates the presence discontinuity. In addition to give the harmonic structure is still unclear, discontinuities on harmonic structure representation, limiting the evaluation frequency interval. Therefore, on research of this final task, proposed IF formulation bebasis on Gaussian window with IF formulation that can reduce discontinuity on the
representation of IF harmonic structure. Result of IF Gaussian Window obtained the representation of harmonic structure which is clearer. Testing of IFD F 0 bebasis estimation results Gaussian window on a sound database consisting of 2 men and 2 women with 20 pronunciations, showing fine pitch error for male is 6.2934% and for women is 4.9833% compared with the STRAIGHT method.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 621.381 536 2 Ahm e |
| Uncontrolled Keywords: | F0; Gaussian Window; IF; IFAS |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Dipta nusbangga haikal ahmada |
| Date Deposited: | 05 Feb 2018 05:20 |
| Last Modified: | 30 Jun 2020 04:03 |
| URI: | http://repository.its.ac.id/id/eprint/51084 |
Actions (login required)
 |
View Item |