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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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Noise Reduction Based on Microphone Array and Post-Filtering

Acoustic interfering noise signals dramatically degrade the performance of many speech applications, such as automatic speech recognition;

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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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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 Processing in the Auditory System

recognition. In this volume, the authors provide an up-to-date synthesis of recent research in the area of speech processing in the auditory system;

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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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Pattern Recognition

This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held;

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The Waveform Model of Vowel Perception and Production

improve accuracy and speed within existing speech recognition systems, or it could be used to generate a new speech recognition program. Many;

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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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Contact Lens Use Under Adverse Conditions

Contact Lens Use Under Adverse Conditions is een boek van Working Group on Contact Lens Use Under Ad;...

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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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Voice Technologies for Speech Reconstruction and Enhancement

speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help;

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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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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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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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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 Processing in Mobile Environments

carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors;

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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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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 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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Speech and Computer

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

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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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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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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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Distant Speech Recognition

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

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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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