TEXT TO SPEECH SYSTEM FOR DYSPHONIA SPEECH DISORDER USING ADVERSARIAL NETWORKS ARCHITECTURE WITH VOICE CLONING APPROACH
Dysphonia is the second most common speech disorder in the United States that can affect anyone. Dysphonia causes difficulties in communicating and potentially decreasing their overall quality of life. Moreover, dysphonia speakers have difficulties producing sound and experience fatigue and throa...
Saved in:
Main Author: | Ulhaq Dewangga, Dhiya |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74896 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
DEVELOPMENT OF INDONESIAN VOICE CLONING TEXT-TO-SPEECH SYSTEM WITH VALL-E BASED MODEL
by: Raditya Pratama Roosadi, Hizkia -
Text to speech synthesis and voice conversion system
by: Yu, Jufeng.
Published: (2011) -
RECOGNITION OF HUMAN VOICE INTO TEXT USING SPEECH RECOGNITION METHOD
by: Permata Putra, Nugroho -
Unit selection speech synthesis for text-to-speech systems
by: Gupta, Vanya
Published: (2017) -
Domain adversarial training for speech enhancement
by: Hou, Nana, et al.
Published: (2020)