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Algorithms and Software for Predictive and Perceptual Modeling of Speech

some of the recent advances in linear prediction (LP)-based speech analysis that employ perceptual models for narrow- and wide-band speech;

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Handbook of Image Quality

perceptual measurements for the assessment of individual quality attributes and overall quality, explores variation in scene susceptibility, observer;

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Bandwidth Extension of Speech Using Perceptual Criteria

algorithms make use of novel perceptual models based on loudness that determine optimum quantization strategies for wideband recovery and synthesis;

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Learning Predictive Analytics With Python

Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries;

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Computational Auditory Scene Analysis

perception of auditory scenes and visual scenes, and described a coherent framework for understanding the perceptual organization of sound. His;

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Python: Advanced Predictive Analytics

for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated;

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Speech Coding

exercises and projects for hands-on experimentation with algorithmsDescribes speech coding algorithms in both simple parametric terms and complete;

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Feature Engineering and Selection

critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for;

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Feature Engineering and Selection

critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for;

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Applying Predictive Analytics

The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus;

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Spoken Dialogue With Computers

-based spoken dialog system, and will prove invaluable to researchers in industry and academia working on speech communication systems and for;

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Bayesian Modeling Using WinBUGS

theory and statistics, Bayesian Modeling Using WinBUGS serves as an excellent book for courses on Bayesian statistics at the upper;

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A Computational Approach to Statistical Learning

half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models;

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A Computational Approach to Statistical Learning

half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models;

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Systems Performance Modeling

This book describes methods to improve software performance and safety using advanced mathematical and computational analytics. The main;

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Foundations of Predictive Analytics

fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and;

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Foundations of Predictive Analytics

fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and;

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Predictive Modeling of Drug Sensitivity

characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug;

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Predictive Modelling for Energy Management and Power Systems Engineering

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large;

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Predictive Modeling Applications in Actuarial Science

developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance;

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Predictive Data Mining Models

reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.;

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Training Systems Using Python Statistical Modeling

Leverage the power of Python and statistical modeling techniques for building accurate predictive models Key Features Get introduced to;

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Predictive Microbiology in Foods

factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and;

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Speech Enhancement

enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech;

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Speech Enhancement

enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech;

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Python

data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and;

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Model Predictive Control

, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for;

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