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Speech Features for Stress Recognition

evaluation of appropriate low-level features and derived feature characteristics for automated recognition and classification of speech under varying;

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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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Distant Speech Recognition

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

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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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Robust Parallel Speech Recognition

This book focuses on automatic speech recognition in clean and noisy or reverbrant environments. Therefore, a parallel speech recognition;

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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech;

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Robust Emotion Recognition using Spectral and Prosodic Features

recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further;

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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 in Mobile and Pervasive Environments

environments, specialised hardware for speech recognition and synthesis, the use of context to enhance recognition and user experience, and the;

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Text Dependent Speaker Recognition

of human communication. Speaker recognition can be a useful tool in many other areas such as forensic speech analysis. The choice of features plays;

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Phase-based Speech Processing

, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the;

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Phase-based Speech Processing

, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the;

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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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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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Robust Automatic Speech Recognition

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

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Speech Recognition in Adverse Conditions

Speech recognition in 'adverse conditions' has been a familiar area of research in computer science, engineering, and hearing sciences for;

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Emulating Human Speech Recognition

This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;

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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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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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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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Information Security for Automatic Speaker Identification

critical areas of automatic speech recognition. Included are topics on speech watermarking, speech encryption, steganography, multilevel security;

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Speech Processing in Mobile Environments

in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for;

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Self-Learning Speaker Identification

characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities;

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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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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness;

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