Model-based articulatory phonetic features for improved speech recognition

• Main Authors: Huang, Guangpu, Er, Meng Joo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/97868; http://hdl.handle.net/10220/12393
• Institution: Nanyang Technological University

We describe a neural based articulatory phonetic inversion model to improve the recognition of the acoustically varying vowels and the syllable initial plosives. The model uses a set of continuous valued articulatory phonetic features (APFs) to explore the interactions between the motor control of a...