Ebook: Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
- Tags: Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics)
- Series: Studies in Computational Intelligence 83
- Year: 2008
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages I-X
Information Theoretic Feature Selection and Projection....Pages 1-22
Recognition of Tones in Yor?b? Speech: Experiments With Artificial Neural Networks....Pages 23-47
Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles....Pages 49-70
Modeling Supra-Segmental Features of Syllables Using Neural Networks....Pages 71-95
Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network....Pages 97-116
A Novel Approach to Language Identification Using Modified Polynomial Networks....Pages 117-143
Speech/Non-Speech Classification in Hearing Aids Driven by Tailored Neural Networks....Pages 145-167
Audio Signal Processing....Pages 169-189
Democratic Liquid State Machines for Music Recognition....Pages 191-215
Color Transfer and its Applications....Pages 217-241
A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images....Pages 243-268
Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition....Pages 269-282
Detection and Recognition of Human Faces and Facial Features....Pages 283-305
Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks....Pages 307-326
Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics....Pages 327-349
SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment....Pages 351-371
Segmentation and Classification of Leukocytes Using Neural Networks: A Generalization Direction....Pages 373-396
A Closed Loop Neural Scheme to Control Knee Flex-Extension Induced by Functional Electrical Stimulation: Simulation Study and Experimental Test on a Paraplegic Subject....Pages 397-419
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.
Content:
Front Matter....Pages I-X
Information Theoretic Feature Selection and Projection....Pages 1-22
Recognition of Tones in Yor?b? Speech: Experiments With Artificial Neural Networks....Pages 23-47
Emotion Recognition from Speech Using Multi-Classifier Systems and RBF-Ensembles....Pages 49-70
Modeling Supra-Segmental Features of Syllables Using Neural Networks....Pages 71-95
Objective Speech Quality Evaluation Using an Adaptive Neuro-Fuzzy Network....Pages 97-116
A Novel Approach to Language Identification Using Modified Polynomial Networks....Pages 117-143
Speech/Non-Speech Classification in Hearing Aids Driven by Tailored Neural Networks....Pages 145-167
Audio Signal Processing....Pages 169-189
Democratic Liquid State Machines for Music Recognition....Pages 191-215
Color Transfer and its Applications....Pages 217-241
A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images....Pages 243-268
Fisher Linear Discriminant Analysis and Connectionist Model for Efficient Image Recognition....Pages 269-282
Detection and Recognition of Human Faces and Facial Features....Pages 283-305
Classification of Satellite Images with Regularized AdaBoosting of RBF Neural Networks....Pages 307-326
Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics....Pages 327-349
SVM Based Adaptive Biometric Image Enhancement Using Quality Assessment....Pages 351-371
Segmentation and Classification of Leukocytes Using Neural Networks: A Generalization Direction....Pages 373-396
A Closed Loop Neural Scheme to Control Knee Flex-Extension Induced by Functional Electrical Stimulation: Simulation Study and Experimental Test on a Paraplegic Subject....Pages 397-419
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