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Automatic Data Mining Using Speech Signals

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Emulating Human Speech Recognition

This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;

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Like Humans Do

This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;

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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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Noise Reduction Based on Microphone Array and Post-Filtering

Acoustic interfering noise signals dramatically degrade the performance of many speech applications, such as automatic speech recognition;

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Randomized Algorithms in Automatic Control and Data Mining

always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals;

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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and;

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Multi-Pitch Estimation

of subspace orthogonality and shift-invariance. The application of these methods to analysis of speech and audio signals is demonstrated using both;

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Multi-Pitch Estimation

of subspace orthogonality and shift-invariance. The application of these methods to analysis of speech and audio signals is demonstrated using both;

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Neural Advances in Processing Nonlinear Dynamic Signals

audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and;

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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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Biomedical Data Mining Using Machine Learning

experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology;

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Speech And Audio Signal Processing

and speech perception, vocoding methods and information on many aspects of automatic speech recognition (ASR) systems. The authors have made;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Advances in Knowledge Discovery and Data Mining

KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic;

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Data Mining on Multimedia Data

Despite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from;

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Machine Learning in Translation Corpora Processing

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on;

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Machine Learning in Translation Corpora Processing

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on;

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Automatic Assessment of Parkinsonian Speech

This book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Introduction to EEG- and Speech-Based Emotion Recognition

Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using;

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Signals and Images

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines;

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Signals and Images

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines;

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2015 Workshops

Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected;

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