Описание: Computational Thinking in Sound is the first book for music fundamentals educators which is devoted specifically to music, sound, and technology. The book offers practical guidance on creating an interdisciplinary classroom program, and includes numerous student activities at the intersection of computing and music.
Автор: Dorfman, Jay Название: Theory and practice of technology-based music instruction ISBN: 0199795592 ISBN-13(EAN): 9780199795598 Издательство: Oxford Academ Рейтинг: Цена: 4671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Theory and Practice of Technology-Based Music Instruction develops a framework for examining music instruction that uses technology to introduce, reinforce, and assess music learning. This cutting-edge text is based on extensive observations and interviews by the author, and provides a means of examining music teaching for the next century.
Автор: d`Escriv?n Название: Music Technology ISBN: 1107000807 ISBN-13(EAN): 9781107000803 Издательство: Cambridge Academ Рейтинг: Цена: 11880.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From synthesisers to studios, MIDI to mixing, this is a user-friendly introduction to music technology. Covering the most important contemporary trends and emphasising the creative aspect of the field, it is perfect for music students with very little scientific or technical background starting out in music technology.
Автор: Priyanka A. Abhang Название: Introduction to EEG- and Speech-Based Emotion Recognition ISBN: 012804490X ISBN-13(EAN): 9780128044902 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings.
Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon
Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data
Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition
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