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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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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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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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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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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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Emulating Human Speech Recognition

mechanisms required if automatic speech recognition is to approach human levels of performance.;

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Text Dependent Speaker Recognition

patterns can prove extremely useful in criminal investigation and litigation. Moreover speaker recognition can be useful to adapt the machines into;

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Fundamentals of Speaker Recognition

, call centres and other enterprise businesses for business process automation. Fundamentals of Speaker Recognition introduces Speaker;

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Fundamentals of Speaker Recognition

, call centres and other enterprise businesses for business process automation. Fundamentals of Speaker Recognition introduces Speaker;

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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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Like Humans Do

mechanisms required if automatic speech recognition is to approach human levels of performance.;

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Computer Speech

New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and;

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Distant Speech Recognition

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems;

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Advances in Speech and Language Technologies for Iberian Languages

different topics: Speech Production, Analysis, Coding and Synthesis; Automatic Speech Recognition; Paralinguistic Speaker Trait;

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Speech Recognition

Automatic Speech Recognition (ASR) is the enabling technology for hands-free dictation and voice-triggered computer menus. It is becoming;

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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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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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Automatic Speech Recognition: A Deep Learning Approach

learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the;

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Radar Automatic Target Recognition (Atr) And Non-Cooperative

difficult challenge. Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented in the NATO;

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Real-Time Automatic Emotion Recognition from Speech

. Therefore, this book investigates real-time automatic emotion recognition from acoustic features of speech in several experiments for suitable audio;

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Human Activity Recognition

physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from;

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Robustness Related Issues in Speaker Recognition

gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and;

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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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Soft Computing Implementation of Automatic Speech Recognition

This work assimilates an introduction to the Human speech production system, Fundamentals of speech recognition, the methods for data;

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Robust Speaker Recognition in Noisy Environments

for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse;

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Iris Recognition

of the human iris and also its performance as a biometric identification andalso focuses on the iris feature matching in iris recognition system;

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