A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of speech recognition
Fundamentals of speech recognition
Wavelets and subband coding
Neural networks for discrimination and modelization of speakers
Speech Communication
VLSI design of 1-D DWT architecture with parallel filters
Integration, the VLSI Journal
Information Sciences—Informatics and Computer Science: An International Journal
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Optimization of HMM by a Genetic Algorithm
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Using Eigen-Deformations in Handwritten Character Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Expert Systems with Applications: An International Journal
Improving network security using genetic algorithm approach
Computers and Electrical Engineering
A new mathematical based QRS detector using continuous wavelet transform
Computers and Electrical Engineering
Expert Systems with Applications: An International Journal
Robust watermarking based on DWT and nonnegative matrix factorization
Computers and Electrical Engineering
An expert system for speaker identification using adaptive wavelet sure entropy
Expert Systems with Applications: An International Journal
Speaker identification based on the frame linear predictive coding spectrum technique
Expert Systems with Applications: An International Journal
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Face recognition in JPEG and JPEG2000 compressed domain
Image and Vision Computing
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication
Improved wavelet feature extraction using kernel analysis for text independent speaker recognition
Digital Signal Processing
Wavelet entropy and neural network for text-independent speaker identification
Engineering Applications of Artificial Intelligence
Comments on Vocal Tract Length Normalization Equals Linear Transformation in Cepstral Space
IEEE Transactions on Audio, Speech, and Language Processing
Zero-crossings of a wavelet transform
IEEE Transactions on Information Theory
Image coding using wavelet transform
IEEE Transactions on Image Processing
Neural network and wavelet average framing percentage energy for atrial fibrillation classification
Computer Methods and Programs in Biomedicine
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In this work, an average framing linear prediction coding (AFLPC) technique for text-independent speaker identification systems is presented. Conventionally, linear prediction coding (LPC) has been applied in speech recognition applications. However, in this study the combination of modified LPC with wavelet transform (WT), termed AFLPC, is proposed for speaker identification. The investigation procedure is based on feature extraction and voice classification. In the phase of feature extraction, the distinguished speaker's vocal tract characteristics were extracted using the AFLPC technique. The size of a speaker's feature vector can be optimized in term of an acceptable recognition rate by means of genetic algorithm (GA). Hence, an LPC order of 30 is found to be the best according to the system performance. In the phase of classification, probabilistic neural network (PNN) is applied because of its rapid response and ease in implementation. In the practical investigation, performances of different wavelet transforms in conjunction with AFLPC were compared with one another. In addition, the capability analysis on the proposed system was examined by comparing it with other systems proposed in literature. Consequently, the PNN classifier achieves a better recognition rate (97.36%) with the wavelet packet (WP) and AFLPC termed WPLPCF feature extraction method. It is also suggested to analyze the proposed system in additive white Gaussian noise (AWGN) and real noise environments; 58.56% for 0dB and 70.52% for 5dB. The recognition rates for the whole database of the Gaussian mixture model (GMM) reached the lowest value in case of small number of training samples.