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wide range of topics such as Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System;
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in topical sections on speech recognition and understanding, spoken language processing, spoken dialogue systems, speaker identification and;
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This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech;
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Word recognition is the component of reading which involves the identification of individual words. Together the two volumes of Visual Word;
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recognition of audible and visible speech. The volume begins by addressing two important questions about human audiovisual performance: how auditory;
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recognition of audible and visible speech. The volume begins by addressing two important questions about human audiovisual performance: how auditory;
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A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international;
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of information. The main emphasis is on visual perception with particular reference to looking and pattern recognition; selective listening and speech;
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of information. The main emphasis is on visual perception with particular reference to looking and pattern recognition; selective listening and speech;
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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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Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech;
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address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and;
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, 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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, 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' has been a familiar area of research in computer science, engineering, and hearing sciences for;
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This book focuses on automatic speech recognition in clean and noisy or reverbrant environments. Therefore, a parallel speech recognition;
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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++ is een boek van Dietrich W. R. Paulus;
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Acoustic interfering noise signals dramatically degrade the performance of many speech applications, such as automatic speech recognition;
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Speech recognition technique has proven to be significantly beneficial in the domain of Artificial Intelligence. This book is based on;
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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 Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech;
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carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors;
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In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described;
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of Competence, GEPR - Graph Embedding for Pattern Recognition, ImageCLEF@ICPR - Information Fusion Task, ImageCLEF@ICPR - Visual Concept Detection Task;
Vergelijkbare producten zoals Recognizing Patterns in Signals, Speech, Images, and Videos
This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;
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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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