Papers

Signal and feature domain enhancement approaches for robust speech recognition

International Conference
2011~2015
작성자
한혜원
작성일
2011-12-13 00:15
조회
3273
Authors : Jinkyu Lee, Soonho Baek, Hong-Goo Kang

Year : 2011

Publisher / Conference : 8th International Conference on Information, communications and Signal Processing

This paper analyzes the impact of various preprocessing modules to improve the performance of automatic speech recognition system (ASR) in noisy environment. After choosing the state-of-the-art algorithms designed in the signal domain and feature domain, their performances in various noise conditions are thoroughly evaluated. Since the enhancement has been directly made to the features that are actually used for recognition, the feature domain approach is more appropriate than the signal domain approach. Experimental results show that the noise reduction in the feature domain gives the best performance.
전체 372
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218 International Conference Jung-Won Lee, Hong-Goo Kang, Samuel Kim, Yoonjae Lee "Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio" in APSIPA, 2013
217 International Journal Jung-Won Lee, Hong-Goo Kang, Jeung-Yoon Choi, Young-Ik Son "An Investigation of Vocal Tract Characteristics for Acoustic Discrimination of Pathological Voices" in BioMed Research International, 2013
216 International Conference Eunwoo Song, Jongyoub Ryu, Hong-Goo Kang "Speech enhancement for pathological voice using time-frequency trajectory excitation modeling" in APSIPA, 2013
215 Domestic Journal 이정인, 최정윤, 강홍구 "음성감정인식에서 음색 특성 및 영향 분석" in 방송공학회논문지, vol.18, 제 5호, pp.771-774, 2013
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213 International Conference Jinkyu Lee, Hyunson Seo, Hong-Goo Kang "Adaptation of HMM dynamic parameters in reverberant environment" in EUSIPCO, 2013