Results 221 to 230 of about 12,831 (261)

GMM and PDC based embedded graphic system

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010
With the rapid development of electric technology, the embedded system is becoming increasingly humanistic and active. It requires more advanced and humanistic technology to provide a more thoughtful and comprehensive graphical user interface for customers, both triggering their desire for using and providing pleasure in further operating.
null Huang Ge, null Guo He, null Gao Zhengjiu, null Chen Jun, null Zhu Xueyong   +4 more
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Application of GMM in the Speaker Identification System

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing, 2011
This paper discusses the application of speaker identification technology from several aspects such as speaker identification using GMM, optimization of identification method, system implement and experimental result, and analyzes application prospects of CMM in the speaker identification system.
Chun Zeng, Zhong Li
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A hybrid GMM-SVM speaker identification system

2004 IEEE Africon. 7th Africon Conference in Africa (IEEE Cat. No.04CH37590), 2005
This paper proposes a system that combines the power of generative Gaussian mixture models (GMM) and discriminative support vector machines (SVM) in a speaker identification task. The classification methods are different and they also exhibit uncorrelated errors and this is used to improve performance of the speaker identification system.
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An embedded voiceprint recognition system based on GMM

2015 10th International Conference on Computer Science & Education (ICCSE), 2015
Gaussian mixture model (GMM) is a kind of probability and statistics model attracted much attention for its scalability and effectiveness, which is considered to be a suitable modeling algorithm for voiceprint recognition. The process of voiceprint recognition with GMM is introduced in this paper.
Mao Jian, Li Yongmei
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A GMM-Based Speaker Identification System on FPGA

2010
Speaker identification is the process of identifying persons from their voice. Speaker-specific characteristics exist in speech signals due to different speakers having different resonances of the vocal tract and these can be exploited by extracting feature vectors such as Mel frequency cepstral coefficients (MFCCs) from the speech signal. The Gaussian
Phak Len Eh Kan, Tim Allen, Steven F. Quigley   +2 more
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Text independent spekaer identification system using VQ and GMM

2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015
The goal of automatic speaker recognition systems is to extract, characterize and recognize the information in the speech signal conveying speaker identity. In this paper two different modeling techniques Vector Quantization (VQ) and Gaussian Mixture Model (GMM) and their combinations are used for text-independent speaker recognition.
Piyush Lotia, M. R. Khan
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A. GMM-Based intrusion detection for perimeter security system

2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2019
As the exploitation of shale gas has increased in recent years, the safety of perimeter protection for shale gas wells has become increasingly important. Today, there are a number of problems with algorithms that build models based on foreground signals for intrusion detection. The biggest problem is that the use of foreground modeling requires a large
Gu Xiaohua, Ren Pengfei, Wang Tian, Song Hongfei, Lu Fei, Li Renjie   +5 more
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Robust PCA-GMM-SVM System for Speaker Verification Task

2012 Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012
This paper presents an automatic speaker verification system based on the hybrid GMM-SVM model working in real environment. An important step in speaker verification is extracting features that best characterized the speaker. Mel-Frequency Cepstral Coefficients (MFCC) and their firt and second derivatives are commonly used as acoustic features for ...
K. Y. Zergat, A. Amrouche, N. Asbai, M. Debyeche   +3 more
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Why Are Muslim Countries Underdeveloped? A System GMM Approach

2022
Many authors argue that Islam is anti-growth. The performance of Muslim countries in various economic, social, and political indicators support such hypothesis. This paper argues that Muslim countries are underdeveloped not due to Islam, but due to the engagement of its individuals and institutions in development hindering behavior.
Mohammad Tariq Al Fozaie, Hairunnizam Wahid   +1 more
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Improving a GMM speaker verification system by phonetic weighting

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
This paper compares two approaches to speaker verification, Gaussian mixture models (GMMs) and hidden Markov models (HMMs). The GMM based system outperformed the HMM system, this was mainly due to the ability of the GMM to make better use of the training data. The best scoring GMM frames were strongly correlated with particular phonemes, e.g.
R. Auckenthaler, E.S. Parris, M.J. Carey
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