Introduction to EEG- and speech-based emotion recognition / / Priyanka A. Abhang, Bharti Gawali, Suresh Mehrotra

• Record Nr.: UNINA9910798260003321
• Autore: Abhang Priyanka A.
• Pubbl/distr/stampa: Amsterdam, [Netherlands] : , : Academic Press, , 2016; ©2016
• ISBN: 0-12-804531-0
• Descrizione fisica: 1 online resource (200 p.)
• Disciplina: 004.019
• Soggetti: Human-computer interaction; Electroencephalography; Artificial intelligence; Pattern Recognition, Automated; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Front Cover; INTRODUCTION TO EEG- AND SPEECH-BASED EMOTION RECOGNITION; INTRODUCTION TO EEG- AND SPEECH-BASED EMOTION RECOGNITION; Copyright; Contents; Preface; Acknowledgments; 1 - Introduction to Emotion, Electroencephalography, and Speech Processing; 1.1 INTRODUCTION; 1.2 BRAIN PHYSIOLOGY; 1.2.1 Major Brain Areas; The Brain Stem; The Midbrain; The Limbic System; The Cerebral Cortex; The Basal Ganglia; The Cerebellum; The Cerebrum; 1.3 LOBES OF THE BRAIN AND THEIR FUNCTIONS; 1.3.1 The Frontal Lobe; 1.3.2 The Parietal Lobe; 1.3.3 The Temporal Lobe; 1.3.4 The Occipital Lobe; 1.4 ELECTROENCEPHALOGRAPHY1.5 HUMAN AUDITORY SYSTEM; 1.5.1 Speech Production Mechanism; 1.6 SPEECH PROCESSING; 1.6.1 Speech Emotion Recognition; 1.7 ORGANIZATION OF THE BOOK; 1.8 CONCLUSION; References; 2 - Technological Basics of EEG Recording and Operation of Apparatus; 2.1 INTRODUCTION TO ELECTROENCEPHALOGRAPHY; 2.1.1 Brain Waves; 2.1.2 Applications of EEG; 2.2 MODERN EEG EQUIPMENT; 2.2.1 Wired EEG Systems; 2.2.1.1 ; Merits; 2.2.1.2 Demerits; 2.2.2 Wireless EEG Systems; 2.2.2.1 Merits; 2.2.2.2 Demerits; 2.2.3 Evoked Potentials; 2.3 THE EEG 10/20 ELECTRODES PLACEMENT SYSTEM; 2.4 EEG ACQUISITION TOOL2.4.1 EEG Acquire Software; 2.4.2 EEG Analysis Software; 2.5 ARTIFACTS; 2.5.1 Eye Blinks; 2.5.2 Eye Movement; 2.5.3 Muscular Artifacts; 2.5.4 Electrode Artifacts; 2.6 SPEECH ACQUISITION AND PROCESSING; 2.6.1 Applications of Speech Recognition22; 2.6.2 Acquisition Setup; 2.7 COMPUTERIZED SPEECH LABORATORY; 2.7.1 Key Features of CSL; 2.7.2 Facilities Available in CSL; 2.7.2.1 Record and Speak Facilities; 2.7.2.2 Analytical Tools; 2.7.2.3 Other Special Features; 2.8 CONCLUSION; References; 3 - Technical Aspects of Brain Rhythms and Speech Parameters; 3.1 INTRODUCTION TO BRAIN-WAVE FREQUENCIES3.1.1 Gamma Waves; 3.1.2 Beta Waves; 3.1.3 Alpha Waves; 3.1.4 Theta Waves; 3.1.5 Delta Waves; 3.2 SPEECH PROSODIC FEATURES; 3.2.1 Acoustic Features for Emotions; 3.2.1.1 Prosody-Related Signal Measures; 3.2.1.1.1 ENERGY; 3.2.1.1.2 PITCH; 3.2.1.1.3 FORMANT; 3.2.1.1.4 INTENSITY; 3.2.1.1.5 LOUDNESS; 3.2.1.1.6 DURATION; 3.2.1.1.7 SAMPLING RATE; 3.2.1.2 Spectral Characteristics Measures; 3.2.1.2.1 MEL-FREQUENCY CEPSTRAL COEFFICIENTS; 3.2.1.2.2 MEL FILTER BANK ENERGY BASED SLOPE FEATURES; 3.2.1.3 Voice Quality-related Measures; 3.2.1.3.1 JITTER; 3.2.1.3.2 SHIMMER3.2.1.3.3 HARMONIC TO NOISE RATIO; 3.3 SIGNAL PROCESSING ALGORITHMS; 3.3.1 Preprocessing Algorithms; 3.3.1.1 Common Spatial Patterns (CSP); 3.3.1.2 Independent Component Analysis; 3.3.2 Feature Extraction; 3.3.2.1 Principal Components Analysis; 3.3.2.2 Mel Frequency Cepstral Coefficients for Speech Feature Extraction; 3.3.3 Feature Classification; 3.3.3.1 Linear Discriminative Analysis; 3.3.3.2 Support Vector Machine; 3.3.3.2.1 LINEAR CLASSIFICATION; 3.3.3.2.2 NON-LINEAR CLASSIFICATION; 3.4 CONCLUSION; References; 4 - Time and Frequency Analysis; 4.1 INTRODUCTION; 4.2 FOURIER TRANSFORMATION