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Springer Phoneme-Based Speech Segmentation Hybrid Soft Computing - Studies 550

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Description

This Springer publication explores intelligent system design through soft computing frameworks and their practical applications across multiple disciplines. The book examines how soft computing techniques serve as versatile tools for developing advanced decision support systems. It provides comprehensive coverage of phoneme-based speech segmentation methodologies using hybrid approaches, making it essential reading for researchers and practitioners working in artificial intelligence, machine learning, and speech processing. The Studies in Computational Intelligence series volume 550 bridges theoretical foundations with real-world interdisciplinary applications, offering insights into contemporary trends in soft computing research and implementation strategies for complex computational problems.

Key Features

Springer publication focusing on intelligent system design using soft computing frameworks and methodologies.

Covers phoneme-based speech segmentation techniques with hybrid soft computing approaches for advanced applications.

Volume 550 in the Studies in Computational Intelligence series addressing decision support systems.

Explores interdisciplinary applications of soft computing across multiple research and industry domains.

Product Specifications

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

Barcode

No barcode data available

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