A Small vocabulary automatic speech profanity suppression system using Hybrid Hidden Markov Model/ Artificial Neural Network (HMM/ANN) keyword spotting framework
This paper describes an implementation of speech recognition that recognizes and suppresses ten (10) defined profane and vulgar Filipino words. The adapted speech recognition architecture was that of the Oregon Graduate Institute’s (OGI) Center for Spoken Language and Learning (CLSU). It utilizes a...
Saved in:
Main Authors: | Ablaza, Fernando I., Jr., Danganan, Timothy Oliver D., Javier, Bryan Paul L., Manalang, Kevin S., Montalvo, Denise Erica V. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2010
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14685 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
A small vocabulary automatic Filipino speech profanity suppression system using hybrid hidden Markov model/artificial neural network (HMM/ANN) keyword spotting framework
by: Ablaza, Fernando I., et al.
Published: (2014) -
Speech to text converter for Filipino language using hybrid artificial neural network/Hidden Markov Model
by: Chan, Aylmer Jason L., et al.
Published: (2007) -
Automatic speech recognition and chat bot for air traffic control
by: Low, Ashton Kin Yun
Published: (2024) -
On-device implementation of an automatic Filipino speech recognition system
by: Ang, Federico M., et al.
Published: (2008) -
Emotion recognition in Filipino speech: EMOTICON
by: Chua, Joan L., et al.
Published: (2009)