A small vocabulary automatic Filipino speech profanity suppression system using hybrid hidden Markov model/artificial neural network (HMM/ANN) keyword spotting framework

• Main Authors: Ablaza, Fernando I., Danganan, Timothy Oliver D., Javier, Bryan Paul L., Manalang, Kevin S., Montalvo, Denise Erica V., Ambata, Leonard U.
• Format: text
• Published: Animo Repository 2014
• Subjects: Automatic speech recognition; Hidden Markov models; Neural networks (Computer science); Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1889; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2888/type/native/viewcontent
• Institution: De La Salle University

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 (CSLU). It utiliz...