Dynamic Bayesian network approach to speaker identification

被引：2

作者：

Sang, LF ^{[1
]}

Yang, YC ^{[1
]}

Wu, ZH ^{[1
]}

Zhang, WF ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Comp Sci & Engn, Hangzhou 310027, Peoples R China

来源：

ELECTRONICS LETTERS | 2003年 / 39卷 / 03期

关键词：

D O I：

10.1049/el:20030184

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Dynamic Bayesian networks (DBNs) are knowledge representation schemes that can characterise probabilistic relationships over time-series data and perform probabilistic inference. A new approach to speaker identification using DBNs is presented. Superior results are achieved in experiments over a subset of YOHO corpus.

引用

页码：329 / 330

页数：2

共 50 条

[41] A Bayesian approach to the verification problem: Applications to speaker verification [J].

Jiang, H ;

Deng, L .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2001, 9 (08) :874-884

[42] STRUCTURAL APPROACH FOR THE IDENTIFICATION OF POWER NETWORK DYNAMIC EQUIVALENTS [J].

BRUCOLI, M ;

SBRIZZAI, R ;

TORELLI, F ;

TROVATO, M .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1992, 23 (01) :1-16

[43] Fault Prognosis for Data Incomplete Systems: A Dynamic Bayesian Network Approach [J].

Zhu Jinlin ;

Zhang Zhengdao .

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, :2244-2249

[44] A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data [J].

Warnick, Ryan ;

Guindani, Michele ;

Erhardt, Erik ;

Allen, Elena ;

Calhoun, Vince ;

Vannucci, Marina .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 113 (521) :134-151

[45] A Fuzzy Dynamic Bayesian Network-Based Situation Assessment Approach [J].

Naderpour, Mohsen ;

Lu, Jie ;

Zhang, Guangquan .

2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), 2013,

[46] Capture inter-speaker information with a neural network for speaker identification [J].

Wang, L ;

Chen, K ;

Chi, HH .

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL V, 2000, :247-252

[47] Modelling of threat evaluation for dynamic targets using bayesian network approach [J].

Kumar, Sushil ;

Tripathi, Bipin Kumar .

INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, SCIENCE AND TECHNOLOGY (ICETEST - 2015), 2016, 24 :1268-1275

[48] A dynamic Bayesian network approach for prognosis computations on discrete state systems [J].

Foulliaron, Josquin ;

Bouillaut, Laurent ;

Aknin, Patrice ;

Barros, Anne .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2017, 231 (05) :516-533

[49] A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution [J].

Liang, Huizhi ;

Ganeshbabu, Umarani ;

Thorne, Thomas .

IEEE ACCESS, 2020, 8 :54164-54174

[50] Asphalt concrete dynamic modulus prediction: Bayesian neural network approach [J].

Asadi, Babak ;

Hajj, Ramez ;

Al-Qadi, Imad L. .

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2023, 24 (02)

← 1 2 3 4 5 →