Results 81 to 90 of about 765 (100)

M-GFCC: Audio Copy-Move Forgery Detection Algorithm Based on Fused Features of MFCC and GFCC

IAIC, 2023
Dongyu Wang, Canghong Shi, Junrong Li, Jiaxin Gan, Xianhua Niu, Ling Xiong   +5 more
openaire   +2 more sources

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
openaire   +2 more sources

Convolutional Neural Network Optimization Using Evolution Strategy for Hijaiyah Letter Voice Recognition with GFCC Feature Extraction

2025 International Conference on Information Technology and Computing (ICITCOM)
This study aims to improve the performance of Convolutional Neural Network (CNN) model in Hijaiyah letter classification through hyperparameter optimization using Evolution Strategy (ES). An initial CNN model was built and evaluated without optimization,
Tri Andi, Candra Juni Cahyo Kusuma
openaire   +2 more sources

Robust Speaker Recognition Using Improved GFCC and Adaptive Feature Selection

Security with Intelligent Computing and Big-data Services, 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
openaire   +2 more sources

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.
Christian Calliess
openaire   +2 more sources

Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children’s ASR

International Conference on Speech and Computer, 2023
Ankita, Shambhavi, Syed Shahnawazuddin
openaire   +2 more sources

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
openaire   +2 more sources

A New Hybrid VAD Model Using Machine Learning System and GFCC Acoustic Features in Challenging Noisy Environment

Circuits, Systems, and Signal Processing
Rim Boukri, Atef Farrouki
openaire   +2 more sources

Speech Emotion Recognition using GFCC and BPNN

International Journal of Engineering Trends and Technology, 2014
From the past years, researchers have showed a very interest in the speech recognition systems based on the emotions. Mainly the research has been done with the aim to bring closer both human and computer with each other by recognizing mood swings. In the recognizing process we must know how to represent the emotions on the basis of some features like ...
Shaveta Sharma, Parminder Singh
openaire   +1 more source

Robust speaker verification using GFCC and joint factor analysis

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2014
In real world situation performance of speaker verification system drops significantly because of mismatched training and test conditions. In this paper we have analyzed three factors namely noise, channel variability and session variability, that are responsible for poor performance of a speaker verification system.
Pranab Das, Utpal Bhattacharjee
openaire   +1 more source