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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Text Dependent Speaker Recognition

an important role in the performance of recognizer. Here we propose prosodic feature set for text dependent speaker recognition. Further we;

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The Application of Artificial Intelligence

author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then;

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The Application of Artificial Intelligence

author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then;

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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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Statistical Language and Speech Processing

selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning;

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Robustness Related Issues in Speaker Recognition

This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book;

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Fundamentals of Speaker Recognition

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks;

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Fundamentals of Speaker Recognition

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks;

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Machine Learning based Natural Scene Recognition for Mobile Robot Localization i

recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for;

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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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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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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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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Machine Learning The New AI

systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product;

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Domain Adaptation for Visual Understanding

for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an;

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Domain Adaptation for Visual Understanding

for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an;

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Symbolic Visual Learning

Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.;

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Machine Learning and Visual Perception

, face recognition, deep learning, time series recognition, image classification, and object detection.;

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Machine Learning in Java

to fraud, anomaly, and outlier detection Experiment with deep learning concepts and algorithms Write your own activity recognition model for;

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Document Processing Using Machine Learning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions;

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TensorFlow For Dummies

technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book;

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Pattern Recognition and Machine Intelligence

. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video;

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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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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;

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Machine Learning for Networking

submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine;

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