ScienceGate
Advanced Search
Author Search
Journal Finder
Blog
Sign in / Sign up
ScienceGate
Search
Author Search
Journal Finder
Blog
Sign in / Sign up
Cross-Teager Energy Cepstral Coefficients for Replay Spoof Detection on Voice Assistants
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp39728.2021.9414847
◽
2021
◽
Author(s):
Rajul Acharya
◽
Harsh Kotta
◽
Ankur T. Patil
◽
Hemant A. Patil
Keyword(s):
Cepstral Coefficients
◽
Teager Energy
Download Full-text
Related Documents
Cited By
References
Teager Energy Cepstral Coefficients for Classification of Normal vs. Whisper Speech
2020 28th European Signal Processing Conference (EUSIPCO)
◽
10.23919/eusipco47968.2020.9287634
◽
2021
◽
Author(s):
Kuldeep Khoria
◽
Madhu R. Kamble
◽
Hemant A. Patil
Keyword(s):
Cepstral Coefficients
◽
Teager Energy
Download Full-text
Novel Enhanced Teager Energy Based Cepstral Coefficients for Replay Spoof Detection
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
◽
10.1109/asru46091.2019.9003934
◽
2019
◽
Cited By ~ 1
Author(s):
Rajul Acharya
◽
Hemant A. Patil
◽
Harsh Kotta
Keyword(s):
Cepstral Coefficients
◽
Teager Energy
Download Full-text
Improving the potential of Enhanced Teager Energy Cepstral Coefficients (ETECC) for replay attack detection
Computer Speech & Language
◽
10.1016/j.csl.2021.101281
◽
2021
◽
pp. 101281
Author(s):
Ankur T. Patil
◽
Rajul Acharya
◽
Hemant A. Patil
◽
Rodrigo Capobianco Guido
Keyword(s):
Attack Detection
◽
Replay Attack
◽
Cepstral Coefficients
◽
Teager Energy
Download Full-text
Multilayered convolutional neural network-based auto-CODEC for audio signal denoising using mel-frequency cepstral coefficients
Neural Computing and Applications
◽
10.1007/s00521-021-05782-5
◽
2021
◽
Author(s):
Shivangi Raj
◽
P. Prakasam
◽
Shubham Gupta
Keyword(s):
Neural Network
◽
Convolutional Neural Network
◽
Audio Signal
◽
Signal Denoising
◽
Mel Frequency Cepstral Coefficients
◽
Cepstral Coefficients
Download Full-text
Hidden Markov model neurons classification based on Mel-frequency cepstral coefficients
2014 9th International Conference on System of Systems Engineering (SOSE)
◽
10.1109/sysose.2014.6892482
◽
2014
◽
Cited By ~ 5
Author(s):
Sherif Haggag
◽
Shady Mohamed
◽
Hussein Haggag
◽
Saeid Nahavandi
Keyword(s):
Markov Model
◽
Hidden Markov Model
◽
Hidden Markov
◽
Mel Frequency Cepstral Coefficients
◽
Cepstral Coefficients
Download Full-text
Neural FET small-signal modelling based on mel-frequency cepstral coefficients
2009 International Conference on Computer Engineering & Systems
◽
10.1109/icces.2009.5383249
◽
2009
◽
Cited By ~ 1
Author(s):
Rania R. Elsharkawy
◽
Sayed El-Rabaie
◽
Moataza Hindy
◽
Reda S. Ghoname
◽
Moawad I. Dessouky
Keyword(s):
Small Signal
◽
Mel Frequency Cepstral Coefficients
◽
Cepstral Coefficients
◽
Signal Modelling
Download Full-text
Auditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition
The Journal of the Acoustical Society of America
◽
10.1121/1.4983751
◽
2017
◽
Vol 141
(6)
◽
pp. EL500-EL506
◽
Cited By ~ 2
Author(s):
Hardik B. Sailor
◽
Hemant A. Patil
Keyword(s):
Speech Recognition
◽
Energy Operator
◽
Feature Representation
◽
Restricted Boltzmann Machine
◽
Boltzmann Machine
◽
Teager Energy Operator
◽
Auditory Feature
◽
Teager Energy
Download Full-text
Bearing Faults Diagnosis Based on Teager Energy Operator Demodulation Technique
2009 International Conference on Measuring Technology and Mechatronics Automation
◽
10.1109/icmtma.2009.421
◽
2009
◽
Cited By ~ 8
Author(s):
Hui Li
◽
Lihui Fu
◽
Yuping Zhang
Keyword(s):
Energy Operator
◽
Bearing Faults
◽
Teager Energy Operator
◽
Faults Diagnosis
◽
Teager Energy
Download Full-text
Perceptual MVDR-based cepstral coefficients (PMCCs) for robust speech recognition
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
◽
10.1109/icassp.2003.1198863
◽
2003
◽
Cited By ~ 1
Author(s):
U.H. Yapanel
◽
S. Dharanipragada
Keyword(s):
Speech Recognition
◽
Robust Speech Recognition
◽
Cepstral Coefficients
Download Full-text
Early Fault Feature Extraction of Nuclear Main Pump Based on MEMD-1.5 dimensional Teager Energy Spectrum
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)
◽
10.1109/ddcls49620.2020.9275256
◽
2020
◽
Author(s):
Shule Li
◽
Jie Ma
Keyword(s):
Feature Extraction
◽
Energy Spectrum
◽
Teager Energy
◽
Fault Feature Extraction
Download Full-text
Sign in / Sign up
Close
Export Citation Format
Close
Share Document
Close