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: | , , , , |
---|---|
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 |