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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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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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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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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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Real-Time Automatic Emotion Recognition from Speech

. Therefore, this book investigates real-time automatic emotion recognition from acoustic features of speech in several experiments for suitable audio;

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Speech Recognition and Processing

Finland. Topics like speech recognition, noise cancellation, speech enhancement and emotion recognition have been described in this book;

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Pattern Recognition in Speech and Language Processing

speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have;

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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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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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Robust Automatic Speech Recognition

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech;

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Discriminative Learning for Speech Recognition

detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual;

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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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Computational Paralinguistics

toolkits, such as the open-source openEAR toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard;

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Distant Speech Recognition

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems;

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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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Music Emotion Recognition

how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among;

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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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Spoken Language Processing

to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden;

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Emulating Human Speech Recognition

analysis. Inspired by human auditory perception, this book investigates a range of algorithms and techniques for decomposing multiple speech;

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Emotion Recognition

emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and;

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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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Contemporary Methods for Speech Parameterization

disadvantages of the various speech parameterization techniques available today and to provide the basis for selection of an appropriate speech;

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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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Like Humans Do

analysis. Inspired by human auditory perception, this book investigates a range of algorithms and techniques for decomposing multiple speech;

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Speech Recognition Algorithms Based on Weighted Finite-State Transducers

This book introduces the theory, algorithms, and implementation techniques for efficient decoding in speech recognition mainly focusing on;

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Speech Recognizer Adaptation

and reverberation levels are presented. Speech recognition is used. Basics are omitted. As features Mel Frequency Cepstrum Coefficients (MFCC;

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Natural Language Dialog Systems and Intelligent Assistants

recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and;

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