Comparison of text independent speaker identification systems using GMM and i-vector methods
Voice biometric provides a person's unique identity and hence is widely employed for
security applications. Here, Text Independent Speaker Recognition system is implemented …
security applications. Here, Text Independent Speaker Recognition system is implemented …
Study of MFCC and IHC feature extraction methods with probabilistic acoustic models for speaker biometric applications
A Sithara, A Thomas, D Mathew - Procedia computer science, 2018 - Elsevier
Voice is an important human trait in natural human-to-human interaction/communication for
identifying a person. So voice can be regarded as a biometric measure for recognizing or …
identifying a person. So voice can be regarded as a biometric measure for recognizing or …
Performance evaluation of different modeling methods and classifiers with MFCC and IHC features for speaker recognition
S Paulose, D Mathew, A Thomas - Procedia computer science, 2017 - Elsevier
Automatic speaker recognition system identifies a person from the information contained in
the speech signal. These systems are the most user-friendly means of biometric recognition …
the speech signal. These systems are the most user-friendly means of biometric recognition …
A novel feature extraction technique for face recognition
Face recognition has found its extensive application in security. An effective method in
extracting features increases the efficiency and the recognition rate of the face recognition …
extracting features increases the efficiency and the recognition rate of the face recognition …
Performance comparison of speaker recognition systems using GMM and i-vector methods with PNCC and RASTA PLP features
Biometrie recognition techniques using features such as iris, fingerprint, face etc. are
nowadays being popularly used for the purpose of verification or authentication of …
nowadays being popularly used for the purpose of verification or authentication of …
Shape classification through structured learning of matching measures
Many traditional methods for shape classification involve establishing point
correspondences between shapes to produce matching scores, which are in turn used as …
correspondences between shapes to produce matching scores, which are in turn used as …
A comparative study of text-independent speaker recognition systems using Gaussian mixture modeling and i-vector methods
S Paulose, D Mathew, A Thomas - … International Conference on …, 2017 - ieeexplore.ieee.org
Speaker recognition systems are increasingly being used in today's world as a means of
biometrie in many real life applications. The accuracy of such a system decreases with …
biometrie in many real life applications. The accuracy of such a system decreases with …
[PDF][PDF] Mutual Information Based Efficient Model for Speech Emotion Recognition
S Srivastav, RR Tewari - Journal of Scientific Research, 2021 - academia.edu
Speech is an important characteristic for identifying a person from human interaction/
communication in everyday life. Automatic Speaker Recognition (ASR) is the method to …
communication in everyday life. Automatic Speaker Recognition (ASR) is the method to …
[PDF][PDF] Compression of Pseudo-periodic Signals Using 2D Wavelet Transform
An improved method to compress of pseudo-periodic 1-dimensional signals like voiced
speech, music, ECG etc is suggested. The pitch synchronous property of such signals is …
speech, music, ECG etc is suggested. The pitch synchronous property of such signals is …
Compression of Psuedo-periodic signals using 2D Wavelet transforms
D Mathew, VP Devassia… - … Intelligence and Multimedia …, 2007 - ieeexplore.ieee.org
This paper attempts to utilize the pitch synchronous property of pseudo-periodic 1-
dimensional signals like voiced speech, music etc, to improve the efficiency of compression …
dimensional signals like voiced speech, music etc, to improve the efficiency of compression …