INDONESIAN AUTOMATIC SPEECH RECOGNITION MODEL TRAINING USING LOW RANK ADAPTATION METHOD
This research focuses on the application of the low rank adaptation (LoRA) method in training Indonesian automatic speech recognition (ASR) models. This method was chosen for its effectiveness in reducing model size and accelerating training while maintaining high accuracy. The research begins with...
Saved in:
Main Author: | Faiq Dhiya Ul Haq, Muhammad |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/75275 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
APPLICATION OF QUANTIZED LOW RANK ADAPTATION METHOD IN AUTOMATIC SPEECH RECOGNITION MODEL TRAINING IN INDONESIAN LANGUAGE USING WHISPER AND MOZILLA COMMON VOICE OPEN SOURCE DATASET
by: Faiq Dhiya Ul Haq, Muhammad -
Language model domain adaptation for automatic speech recognition systems
by: Khassanov, Yerbolat
Published: (2020) -
FAR DISTANCE AUTOMATIC SPEECH RECOGNITION IN INDONESIAN LANGUAGE
by: Agus Haryono, Stefanus -
ADDING LANGUAGE MODEL AND AUTOMATICALLY ADAPTING ACOUSTIC MODEL IN AN INDONESIAN SPEECH RECOGNITION SYSTEM BASED ON SELF-SUPERVISED MODEL USING LIMITED SPEECH CORPUS
by: Hannania, Nabila -
INDONESIAN-ENGLISH CODE-SWITCHING HANDLING IN INDONESIAN AUTOMATIC SPEECH RECOGNITION SYSTEM
by: Hartanto, Roland