Sistem Pengenalan Suara Bahasa Indonesia untuk Mengenali Aksen Melayu Pontianak dan Sunda Garut
| Main Authors: | Idwal, Adhitya Yoga Pratama, Nurhasanah, Youllia Indrawaty, Utami, Dina Budhi |
|---|---|
| Format: | Article NonPeerReviewed Lainnya |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
http://eprints.itenas.ac.id/177/2/688 http://eprints.itenas.ac.id/177/ http://journal.maranatha.edu/index.php/jutisi/article/view/688 |
Daftar Isi:
- In a folktale theater, a linguist is needed to knows if a person is already go deep into the character. However, sometimes theater does not have a linguist to know the accent used is correct or not. Speech recognition is a technology used to recognize and understand spoken words by digitizing words and matching those digital signals to a specific pattern stored in a device. Voice recognition process is divided into two main parts that are feature extraction and pattern recognition. In this research we use Linear Predictive Coding (LPC) characteristic extraction method and pattern recognition method using Vector Quantization (VQ). The results of testing show that the application can be used to recognize the sound of Indonesian language using accent areas of Malay and sundanese. It’s more effective to recognize a voice of sentences, because the voice of a sentence contains more feature values rather than a word.