Papers

Refinement of Landmark Detection and Extraction of Articulator-Free Features for Knowledge-Based Speech Recognition

International Journal
2011~2015
작성자
이진영
작성일
2013-03-01 22:01
조회
164
Authors : Jung-In Lee, Jeung-Yoon Choi, Hong-Goo Kang

Year : 2013

Publisher / Conference : IEICE Transactions on Information and Systems

Volume : E96-D, No.3

Page : 746-749

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.
전체 319
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