MODELING PROSODIC FEATURE FOR EMOTION RECOGNITION IN INDONESIAN SPOKEN LANGUAGE
Information conveyed through spoken language is not only conveyed through words, but also through fundamental frequency (pitch), intensity (volume), speaking rate and rhythm, and timbre, collectively known as prosody. A neural network-based model is developed to create an emotion classification syst...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/72129 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |