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Springer Phoneme-Based Speech Segmentation - Soft Computing

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Description

Explore the advancements in intelligent system design with Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Published by Springer as part of the Studies in Computational Intelligence series (Volume 550), this academic text provides a deep look into the application of soft computing methods. This book is designed for researchers and professionals interested in how soft computing serves as a versatile tool for building decision support systems. It covers interdisciplinary applications and examines recent trends in the field, making it a valuable resource for those studying AI and machine learning. By focusing on hybrid soft computing frameworks, the text helps readers understand the practical implementation of these systems in complex environments. Whether you are studying computational intelligence or looking for insights into speech segmentation, this volume offers a technical perspective on modern intelligent system design.

Key Features

Explores intelligent system design using soft computing and similar technologies for advanced computational tasks.

Covers interdisciplinary applications to show how these systems work across various scientific fields.

Provides insights into recent trends regarding soft computing as a versatile tool for decision support systems.

Part of the Studies in Computational Intelligence series, volume 550, for specialized academic study.

Written by Ms. Mousmita Sarma to provide expert knowledge on hybrid soft computing frameworks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 September 2016
Listed Since
25 August 2016

Barcode

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