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Robust Speaker Recognition in Noisy Environments

This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems;

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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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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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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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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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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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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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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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Logo Recognition

robust for noisy logos. Logo Recognition: Theory and Practice is the first book to focus on logo recognition, especially under noisy;

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Logo Recognition

robust for noisy logos. Logo Recognition: Theory and Practice is the first book to focus on logo recognition, especially under noisy;

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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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Text Dependent Speaker Recognition

recognition. Applications of speaker recognition are becoming ubiquitous, especially after the increased terrorist activities around the world. Speech;

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Speech in Mobile and Pervasive Environments

Environments addresses the issues related to speech processing on resource-constrained mobile devices. These include speech recognition in noisy;

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Speaker Authentication

This book focuses on use of voice as a biometric measure for personal authentication. In particular, Speaker Recognition covers two;

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Speech Recognition

principles of ASR systems, including the theory and implementation issues behind multi-speaker continuous speech recognition. Focusing on 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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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes;

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Human and Automatic Speaker Recognition over Telecommunication Channels

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions;

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Human Recognition in Unconstrained Environments

development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a;

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Who spoke when?

. Generally we can find two main applications for speaker diarization. Automatic Speech Recognition systems make use of the speaker homogeneous;

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Computational Auditory Scene Analysis

separation systems, which have many applications including noise-robust automatic speech recognition, hearing prostheses, and automatic music;

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Wavelets in Intelligent Transportation Systems

integrating wavelets with other soft computing techniques such as neurocomputing and fuzzy logic, complicated and noisy pattern recognition problems;

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Visual Speech Recognition

speaker is the backboon of the thesis, detecting the first frame, the end frame, the motion vectore, and finally extracting the moment features;

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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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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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