Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework Book Reviews
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework by Régis Gras, Einoshin Suzuki, Fabrice Guillet & Filippo Spagnolo Book Summary
Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.
This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Book Name | Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework |
Genre | Mathematics |
Author | Régis Gras, Einoshin Suzuki, Fabrice Guillet & Filippo Spagnolo |
Published | 06 July 2008, Sunday |
Language | English |
E-Book Size | 11.07 MB |
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework (Régis Gras, Einoshin Suzuki, Fabrice Guillet & Filippo Spagnolo) Book Reviews 2024
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Summary of Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework by Régis Gras, Einoshin Suzuki, Fabrice Guillet & Filippo Spagnolo
The Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework book written by Régis Gras, Einoshin Suzuki, Fabrice Guillet & Filippo Spagnolo was published on 06 July 2008, Sunday in the Mathematics category. A total of 50 readers of the book gave the book 0 points out of 5.
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