ADDING LANGUAGE MODEL AND AUTOMATICALLY ADAPTING ACOUSTIC MODEL IN AN INDONESIAN SPEECH RECOGNITION SYSTEM BASED ON SELF-SUPERVISED MODEL USING LIMITED SPEECH CORPUS

The accuracy of current speech recognition models has reached human-level performance, but they are only available for fewer than 100 of the approximately 7,000 languages in the world. This is because developing an accurate speech recognition model requires training on large speech datasets with...

Full description

Saved in:
Bibliographic Details
Main Author: Hannania, Nabila
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/85319
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia