Refinement of Landmark Detection and Extraction of Articulator-Free Features for Knowledge-Based Speech Recognition
Jung-In LEE, Jeung-Yoon Choi, Hong-Goo Kang · IEICE Transactions on Information and Systems · 2013
Refinement methods for landmark detection and extraction of articulator-free features for a knowledge-based speech recognition system are described.Sub-band energy difference profiles are used to detect landmarks, with additional parameters used to improve accuracy.For articulator-free feature extraction, duration, relative energy, and silence detection are additionally used to find [continuant] and [strident] features.Vowel, obstruent and sonorant consonant landmarks, and locations of voicing onsets and offsets are detected within a unified framework with 85% accuracy overall.Additionally, 75% and 79% of [continuant] and [strident] features, respectively, are detected from landmarks.