Results 71 to 80 of about 373 (99)

New Feature Vectors using GFCC for Speaker Identification

International Journal of Emerging Research in Management and Technology, 2018
The feature vectors of speaker identification system plays a crucial role in the overall performance of the system. There are many new feature vectors extraction methods based on MFCC, but ultimately we want to maximize the performance of SID system.  The objective of this paper to derive Gammatone Frequency Cepstral Coefficients (GFCC) based a new set
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Robust Speaker Verification Using GFCC Based i-Vectors

2016
This paper presents to ameliorate the performance of text-independent speaker recognition system in a noisy environment and cross-channel recordings of the utterances. In this paper presents the combination of Gammatone Frequency Cepstral Coefficients (GFCC) to handle noisy environment with i-vectors to handle the session variability.
Medikonda Jeevan, Atul Dhingra, M. Hanmandlu, B. K. Panigrahi   +3 more
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GFCC based discriminatively trained noise robust continuous ASR system for Hindi language

Journal of Ambient Intelligence and Humanized Computing, 2018
A statistically designed Automatic Speech Recognition (ASR) system extracts features from speech signals using feature extraction methods, links the extracted features with the expected phonetics of the hypothesis using acoustic models, uses language model to add prior information about the structure of the target language.
Mohit Dua, Rajesh Kumar Aggarwal, Mantosh Biswas   +2 more
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A robust Speaker Identification System based on the combination of GFCC and MFCC methods

2016 5th International Conference on Multimedia Computing and Systems (ICMCS), 2016
The performances of Speaker Identification Systems (SIS) are strongly influenced by the quality and quantity of the used speech signal. Most of these systems are based on Gaussian Mixture Models (GMM) that is trained using a training speech database.
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Robust Speaker Recognition Using Improved GFCC and Adaptive Feature Selection

2019
Speaker recognition systems have shown good performance in noise-free environments, but the performance will severely deteriorate in the presence of noises. At the front end of the systems, Mel-Frequency Cepstral Coefficient (MFCC), or a relatively noise-robust feature Gammatone Frequency Cepstral Coefficients (GFCC), is commonly used as time-frequency
Xingyu Zhang, Xia Zou, Meng Sun, Penglong Wu   +3 more
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Mechanical Fault Diagnosis of Power Transformer by GFCC Time-frequency Map of Acoustic Signal and Convolutional Neural Network

2019 IEEE Sustainable Power and Energy Conference (iSPEC), 2019
To carefully describe the mechanical condition information from transformer acoustic signals and then identify its typical mechanical faults, the combination of gammatone filter cepstral coefficient (GFCC) time-frequency graph of acoustic signals and Convolution Neural Network is proposed in this paper when considered the excellent sound recognition ...
Q. S. Geng, F. H. Wang, D. X. Zhou
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The Crystal Structure ofEscherichia coliGroup 4 Capsule Protein GfcC Reveals a Domain Organization Resembling That of Wza

Biochemistry, 2011
We report the 1.9 Å resolution crystal structure of enteropathogenic Escherichia coli GfcC, a periplasmic protein encoded by the gfc operon, which is essential for assembly of group 4 polysaccharide capsule (O-antigen capsule). Presumed gene orthologs of gfcC are present in capsule-encoding regions of at least 29 genera of Gram-negative bacteria. GfcC,
Karthik, Sathiyamoorthy, Erez, Mills, Titus M, Franzmann, Ilan, Rosenshine, Mark A, Saper   +4 more
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Antibodies to B7.1 define the GFCC′C″ face of the N-terminal domain as critical for co-stimulatory interactions

Immunology Letters, 2002
Antagonists of the B7 family of co-stimulatory molecules have the potential for altering immune responses therapeutically. To better define the requirements for such inhibitors, we have mapped the binding of an entire panel of blocking antibodies specific for human B7.1.
Suyue, Wang, Geertruida M, Veldman, Mark, Stahl, Yuzhe, Xing, James F, Tobin, David V, Erbe   +5 more
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Gaussian Membership Function-Based Speaker Identification Using Score Level Fusion of MFCC and GFCC

2016
In this work, a speaker identification system is employed using mel-frequency cepstral coefficients (MFCC) and gammatone frequency cepstral coefficients (GFCC) features. MFCC is the most common feature extraction technique used in speaker identification/verification system and gives high performance in clean environmental conditions.
null Gopal, null Smriti Srivastava, null Saurabh Bhardwaj, null Preet Kiran   +3 more
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The Judicial Conflict between the German Federal Constitutional Court (GFCC) and the Court of the European Union (ECJ) about the European Central Bank’s (ECB) PSPP-Programme: In the Name of Democracy Against the Primacy of EU Law?

SSRN Electronic Journal, 2020
This article analyses the judicial conflict between the German Federal Constitutional Court (GFCC) and the Court of the European Union (ECJ) about the European Central Bank’s (ECB) PSPP-Programme. The author examines, if the BVerfG is ruling against the primacy of EU law in the name of democracy.
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