Discriminative feature extraction for speech recognition using continuous output codes

• Main Authors: Dehzangi, Omid, Ma, Bin, Chng, Eng Siong, Li, Haizhou
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/105600; http://hdl.handle.net/10220/17340
• Institution: Nanyang Technological University

Feature transformation techniques have been widely investigated to reduce feature redundancy and to introduce additional discriminative information with the aim to improve the performance of automatic speech recognition (ASR). In this paper, we propose a novel method to obtain discriminative feature...