Real-time speech and music classification by large audio feature space extraction : doctoral thesis accepted by the Technische Universität München, Germany
معرفی کتاب «Real-time speech and music classification by large audio feature space extraction : doctoral thesis accepted by the Technische Universität München, Germany» نوشتهٔ Florian Eyben (auth.)، منتشرشده توسط نشر Springer International Publishing در سال 2016. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
"This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions" -- OhioLink Library Catalog "This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions"--Back cover Front Matter....Pages i-xxxviii Introduction....Pages 1-7 Acoustic Features and Modelling....Pages 9-122 Standard Baseline Feature Sets....Pages 123-137 Real-time Incremental Processing....Pages 139-161 Real-Life Robustness....Pages 163-183 Evaluation....Pages 185-236 Discussion and Outlook....Pages 237-245 Back Matter....Pages 247-298
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