EMOTION RECOGNITION MODEL FROM INDONESIA SPOKEN LANGUAGE USING ACOUSTIC AND LEXICAL FEATURE
Emotion recognition from utterance signal have been developed in many languages include Indonesia spoken language. There are four class emotion that can be recognized by a system in Indonesia spoken language such as angry, happiness, contentment and sadness. These are considered as general emotion t...
Saved in:
Main Author: | KASYIDI (NIM : 23515025), FATAN |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/22088 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
MODELING PROSODIC FEATURE FOR EMOTION RECOGNITION IN INDONESIAN SPOKEN LANGUAGE
by: Mirza Fathan Al Arsyad, M -
LEXICAL DIFERENCES IN THE VARIETIES OF MADURESE LANGUAGE SPOKEN IN SAMPANG
by: YENI ERLINA AYU ARIFIN
Published: (2014) -
Towards high performance phonotactic feature for spoken language recognition
by: Tong, Rong
Published: (2012) -
CONVERSATIONAL SPEECH EMOTION RECOGNITION FROM INDONESIAN SPOKEN LANGUAGE USING RECURRENT NEURAL NETWORK BASED MODEL
by: Nurul Izzah Adma, Aisyah -
Semantic richness effects in spoken word recognition: A lexical decision and semantic categorization megastudy
by: Goh, Winston D, et al.
Published: (2019)