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Robust Parallel Speech Recognition

form a single recognition result. As shown on different data sets the parallel speech recognition system is much more robust to noise and;

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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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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 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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Noise Reduction Based on Microphone Array and Post-Filtering

. The book describes the theory, implementation and applications of multi-channel noise reduction for robust hands-free speech recognition;

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Handling Emotions in Human-Computer Dialogues

. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain 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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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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Speech Processing and Soft Computing

enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced;

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Soft Computing Implementation of Automatic Speech Recognition

without GA. The use of GAs for feature optimizers is a novel concept in Automatic Speech Recognition hence the system becomes more robust to noise;

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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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Speech Processing in the Auditory System

implications on efforts to ameliorate the behavioral consequences of hearing impairment and on the development of robust algorithms for computer speech;

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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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Robustness Related Issues in Speaker Recognition

of robust speech recognition.;

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Incorporating Knowledge Sources into Statistical Speech Recognition

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech;

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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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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 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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Contemporary Methods for Speech Parameterization

of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main;

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Pattern Recognition of Images and Speech in C++

Pattern Recognition of Images and Speech in C++ is een boek van Dietrich W. R. Paulus;

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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

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

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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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Fundamentals Of Speech Synthesis And Speech Recognition

have the most bearing on future developments in the production of truly natural-sounding speech and the reliable recognition of continuous;

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Speech and Computer

of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics;

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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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