DEVELOPMENT OF SPEAKER RECOGNITION SYSTEM IN INDONESIAN WITH DEEP NEURAL NETWORK AND VECTOR EMBEDDING
The speaker recognition system is a human biometric system that identifies a person with voice parameters. Identification of a person can be done by modeling each characteristic of the speaker. There is a speech recognition model that is considered state-of-the-art, namely the i-vector model. Along...
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Main Author: | Angelia, Tifany |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/69107 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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