Soft Computing in Acoustics

Z. Pawlak: Foreword.- Preface.- Introduction.- Some Selected Soft Computing Tools and Techniques: Artificial Neural Networks; Fuzzy Sets and Fuzzy Logic; Rough Sets.- Preprocessing of Data in Acoustics: Musical Signal Representation; Musical Phrase Analyis; Acquisition of Test Results; Data Discretization.- Automatics Classification of Musical Instrument Sounds: Uncertainty of Musical Instrument Sound Representation; Feature Vector Extraction; Statistical Properties of Musical Data; Neural Network as a Classifier of Musical Instruments; Rough Set Decision System as a Classifier of Musical Instruments.- Automatic Recognition of Musical Phrases: Data Acquisition; Parametrization Process; Neural Network as a Classifier of Musical Phrases; Rough Set-Based Classification of Musical Phrases.- Intelligent Processing of Test Results: Inconsistency of Subjective Assessment Results; Application of Fuzzy Logic to the Processing of Test Results; Application of Rough Sets to the Processing of Test Results; Rough-Fuzzy Method of Test Result Processing.- Control Applications: Articulation-Related Features in the Pipe Organ Sound; Fuzzy Control of Pipe Organ.- Conclusions.