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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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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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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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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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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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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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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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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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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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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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Distant Speech Recognition

Speech Recognition presents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the;

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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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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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Guide to Biometrics

and speaker recognition have emerged as research topics. However, as recently as a decade ago, biometrics itself did not exist as an;

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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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Inconsistency Robustness

: //irobust.org). The articles are broadly based on theory and practice, addressing fundamental issues in inconsistency robustness. The field;

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Biometrics

biometrics along with several uni-modal speaker recognition algorithms.;

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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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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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Natural Language Dialog Systems and Intelligent Assistants

is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion;

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Natural Language Dialog Systems and Intelligent Assistants

is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion;

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Stability Theory of Switched Dynamical Systems

analysis and/or design, related robustness and performance issues, connections to other control problems and many motivating and illustrative;

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Native-Speakerism In Japan

issues related to native-speakerism as it manifests itself in the Japanese and Italian educational contexts to show how native-speaker teachers;

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Biometrics Authentication Methods

of automatic speaker recognition techniques for forensic applications, an AFIS candidate list centric fingerprint likelihood ratio model based on;

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