Learning Vector Quantization in text-independent Automatic Speaker Recognition

被引：2

作者：

Filgueiras, TE ^{[1
]}

Messina, RO ^{[1
]}

Cabral, EF ^{[1
]}

机构：

[1] Univ Sao Paulo, Escola Politec, Dept Elect Engn, Lab Comunicacoes & Sinais,Grp Comunicacao Homem M, Sao Paulo, Brazil

来源：

VTH BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/SBRN.1998.731010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper it is reported a comparison among the Learning Vector Quantization (LVQ) and two other common approaches to text-independent speaker recognition, namely Gaussian Mixture Models (GMM) and Vector Quantization (Vg). Th, results shows that the neural approach is less efficient in terms of recognition scores than the GMM.

引用

页码：135 / 139

页数：5

共 50 条

[21] Local Variability Vector for Text-Independent Speaker Verification
Chen, Liping
Lee, Kong Aik
Ma, Bin
Guo, Wu
Li, Haizhou
Dai, Li Rong
2014 9TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP), 2014, : 54 - +
[22] A new text-independent speaker identification using Vector Quantization and Multi-layer Perceptron
Keum, Ji-Soo
Park, Chan-Ho
Lee, Hyon-Soo
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS, 2006, 3972 : 165 - 171
[23] TEXT-INDEPENDENT SPEAKER RECOGNITION USING NEURAL NETWORKS
HATTORI, H
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1993, E76D (03) : 345 - 351
[24] PCA/LDA Approach for Text-Independent Speaker Recognition
Ge, Zhenhao
Sharma, Sudhendu R.
Smith, Mark J. T.
INDEPENDENT COMPONENT ANALYSES, COMPRESSIVE SAMPLING, WAVELETS, NEURAL NET, BIOSYSTEMS, AND NANOENGINEERING X, 2012, 8401
[25] Text-independent Hakka Speaker Recognition in Noisy Environments
Peng, Jie
Chen, Chin-Ta
Yang, Cheng-Fu
SENSORS AND MATERIALS, 2025, 37 (01) : 441 - 451
[26] Deep Speaker Feature Learning for Text-independent Speaker Verification
Li, Lantian
Chen, Yixiang
Shi, Zing
Tang, Zhiyuan
Wang, Dong
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION, 2017, : 1542 - 1546
[27] A study of variational method for text-independent speaker recognition
He, Liang
Tian, Yao
Liu, Yi
Dong, Fang
Zhang, WeiQiang
Liu, Jia
2016 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP), 2016,
[28] Compensation for domain mismatch in text-independent speaker recognition
Bahmaninezhad, Fahimeh
Hansen, John H. L.
19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 2018, : 1071 - 1075
[29] A discriminative training approach for text-independent speaker recognition
Hong, QY
Kwong, S
SIGNAL PROCESSING, 2005, 85 (07) : 1449 - 1463
[30] I-MATRIX FOR TEXT-INDEPENDENT SPEAKER RECOGNITION
He, Liang
Liu, Jia
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 7194 - 7198

← 1 2 3 4 5 →