Malay statistical parametric speech synthesis with intelligibility improvement using artificial intelligence
Speech synthesis is important nowadays and could be a great aid in various applications. So it is important to build a simple, reliable, light-weight, ease of use speech synthesizer. However, conventional speech synthesizers require tedious human efforts to prepare high quality recorded database, an...
Saved in:
Main Author: | Lau, Chee Yong |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/77693/1/LauCheeYongPFBME2015.pdf http://eprints.utm.my/id/eprint/77693/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96409 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Common cancer biomarkers of breast and ovarian types identified through artificial intelligence
by: Pawar, Shrikant, et al.
Published: (2020) -
Statistical parametric speech synthesis of Malay language using found training data
by: Tan, Tian Swee, et al.
Published: (2014) -
Computer-based stuttered speech detection system using Hidden Markov Model
by: Chin, Wee Lip
Published: (2012) -
A statistical comparison of digital X-ray images for MTB patients
by: Rijal, Omar Mohd., et al.
Published: (2005) -
Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks
by: Asteris, Panagiotis G., et al.
Published: (2022)