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Introduction to EEG- and Speech-Based Emotion Recognition

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using;

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Handling Emotions in Human-Computer Dialogues

In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described;

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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.;

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Real-Time Automatic Emotion Recognition from Speech

interaction and especially speech has received increased focus as a modality from which to automatically deduct information on emotion. So far, mainly;

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Emotion Recognition

topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature;

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Reading EEGs

electroneurodiagnostic students and technologists. The emphasis on waveform recognition enables readers to interpret EEG findings accurately and place them;

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Speech Recognition and Processing

Speech recognition technique has proven to be significantly beneficial in the domain of Artificial Intelligence. This book is based on;

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Speech Recognition Algorithms Based on Weighted Finite-State Transducers

help anyone who wants to understand, develop, and study WFST-based speech recognizers. We also mention recent advances in this framework and;

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Music Emotion Recognition

Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains;

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Man-Machine Speech Communication

address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and;

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Robust Emotion Recognition using Spectral and Prosodic Features

improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.;

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Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems

recognition (i.e., facial expressionspeech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the;

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The Role of Prosody in Affective Speech

manifestation and the interpretation of affective speech in prosody. The second part relies on the way emotion recognition is implemented in synthesis;

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Digital Speech Processing

A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international;

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Phase-based Speech Processing

research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition;

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Phase-based Speech Processing

research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition;

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Contemporary Methods for Speech Parameterization

Contemporary Methods for Speech Parameterization offers a general view of short-time cepstrum-based speech parameterization and provides a;

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Fundamentals Of Speech Synthesis And Speech Recognition

speech. Presents a concise and clear introduction to this increasingly complex and interdisciplinary field.;

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Incorporating Knowledge Sources into Statistical Speech Recognition

effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional;

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Noise Reduction Based on Microphone Array and Post-Filtering

system and speech communication system, in practical environments. For example, for automatic speech recognition system, noises result in the;

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Biosignal Processing and Classification Using Computational Learning and Intelligence

and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification;

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Speech Recognition

Automatic Speech Recognition (ASR) is the enabling technology for hands-free dictation and voice-triggered computer menus. It is becoming;

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Optimization techniques for speech emotion recognition

The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input;

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Art And Soul

second edition contains a new section on the recognition and interpretation of sequential EEG seizure patterns.;

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Speech Recognition Based on Voip Coding

scene, automatic speech recognition is a promising way for an easy and natural user access to network services. However, mobile devices are;

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Computational Paralinguistics

This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion;

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Self-Learning Speaker Identification

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal;

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