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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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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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Who spoke when?

clusters to adapt the acoustic models to be speaker dependent and therefore increase recognition performance. Speaker indexing and rich;

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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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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 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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Advances In Chinese Document And Text Processing

document image analysis and recognition, font design, text analysis and speaker recognition. Handwritten Chinese character recognition and text;

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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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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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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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Recognizing Patterns in Signals, Speech, Images, and Videos

on BiHTR - Bi-modal handwritten Text Recognition, CAMCOM 2010 - Verification of Video Source Camera Competition, CDC - Classifier Domains;

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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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Language and Speech Processing

store or transmit speech. It also covers speech synthesis, especially from text, speech recognition, including speaker and language;

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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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Speech and Computer

in topical sections on speech recognition and understanding, spoken language processing, spoken dialogue systems, speaker identification and;

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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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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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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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Object Recognition in Man, Monkey, and Machine

processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize;

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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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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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Evaluation of Text and Speech Systems

and speech systems and components. The evaluation aspects covered include speech and speaker recognition, speech synthesis, animated talking;

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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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Leveled Text-Dependent Question Stems

Help boost kindergarten through twelfth grade students' critical-thinking and comprehension skills with Leveled Text-Dependent Question;

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Leveled Text-Dependent Question Stems

Help develop kindergarten through twelfth grade students' critical-thinking and comprehension skills with Leveled Text-Dependent Question;

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