Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
Published on 20. November 2010
Book
Paperback/Softback
X, 419 pages
978-3-642-09467-5 (ISBN)
Description
Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 2008
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
X, 419 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 24 mm
Weight
651 gr
ISBN-13
978-3-642-09467-5 (9783642094675)
DOI
10.1007/978-3-540-75398-8
Schweitzer Classification
Other editions
Additional editions
Bhanu Prasad | S.R.M. Prasanna
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
Book
01/2008
Springer
€160.49
Shipment within 10-15 days
Content
Information Theoretic Feature Selection and Projection.- Recognition of Tones in YorÙbÁ Speech: Experiments With Artificial Neural Networks.- Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles.- Modeling Supra-Segmental Features of Syllables Using Neural Networks.- Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network.- A Novel Approach to Language Identification Using Modified Polynomial Networks.- Speech/Non-Speech Classification in Hearing Aids Driven by Tailored Neural Networks.- Audio Signal Processing.- Democratic Liquid State Machines for Music Recognition.- Color Transfer and its Applications.- A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images.- Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition.- Detection and Recognition of Human Faces and Facial Features.- Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks.- Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics.- SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment.- Segmentation and Classification of Leukocytes Using Neural Networks: A Generalization Direction.- A Closed Loop Neural Scheme to Control Knee Flex-Extension Induced by Functional Electrical Stimulation: Simulation Study and Experimental Test on a Paraplegic Subject.