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F-0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model

文献类型：期刊论文

作者Li, Yongwei4; Tao, Jianhua2,3,4; Erickson, Donna1; Liu, Bin4; Akagi, Masato5
刊名IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
出版日期2021
卷号29页码:3375-3383
关键词Speech recognition Iterative methods Production Estimation Brain modeling Shape Low-frequency noise Glottal source vocal tract source-filter model ARX-LF model
ISSN号2329-9290
DOI10.1109/TASLP.2021.3120585
通讯作者Tao, Jianhua(jhtao@nlpr.ia.ac.cn)
英文摘要This paper proposes a robust automatic speech analysis method based on a source-filter model constructed of an Auto-Regressive eXogenous (ARX) model and the Liljencrants-Fant (LF) model. The proposed method estimates glottal source waveform and vocal tract shape parameters using an analysis-by-synthesis approach. Structurally, the first step is to initialize the glottal source parameters using the inverse filter method, and the second step is to simultaneously estimate the glottal source waveform and the vocal tract shape parameters using an analysis-by-synthesis approach with an iterative algorithm. The proposed method was verified on synthetic voices with different glottal noise (signal to noise ratio) from 0 dB to 50 dB and different fundamental frequency (F-0) from 80 Hz to 320 Hz levels. The results show that the proposed method achieved a much higher estimation accuracy than that of the state-of-the-art inverse filtering methods on both different glottal noise and different F-0 levels.
WOS关键词WAVE-FORM ; LINEAR PREDICTION ; EPOCH EXTRACTION ; FLOW
资助项目National Key Research & Development Plan of China[2017YFC0820602] ; National Natural Science Foundation of China (NSFC)[61831022] ; National Natural Science Foundation of China (NSFC)[61771472] ; National Natural Science Foundation of China (NSFC)[61773379] ; National Natural Science Foundation of China (NSFC)[61901473] ; Key Program of the Natural Science Foundation of Tianjin[18JCZDJC36300] ; JSPS KAKENHI[20H04207]
WOS研究方向Acoustics ; Engineering
语种英语
WOS记录号WOS:000717754300001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research & Development Plan of China ; National Natural Science Foundation of China (NSFC) ; Key Program of the Natural Science Foundation of Tianjin ; JSPS KAKENHI
源URL[http://ir.ia.ac.cn/handle/173211/46530]  
专题模式识别国家重点实验室_智能交互
通讯作者Tao, Jianhua
作者单位1.Haskins Labs Inc, New Haven, CT 06511 USA
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100101, Peoples R China
5.Japan Adv Inst Sci & Technol, Grad Sch Adv Sci & Technol, Nomi, Ishikawa 9231292, Japan
推荐引用方式
GB/T 7714		 Li, Yongwei,Tao, Jianhua,Erickson, Donna,et al. F-0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model[J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2021,29:3375-3383.
APA Li, Yongwei,Tao, Jianhua,Erickson, Donna,Liu, Bin,&Akagi, Masato.(2021).F-0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model.IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,29,3375-3383.
MLA Li, Yongwei,et al."F-0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model".IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 29(2021):3375-3383.

入库方式： OAI收割

来源：自动化研究所

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