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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces, Jacek Grekow


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Автор: Jacek Grekow
Название:  From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
ISBN: 9783319889689
Издательство: Springer
Классификация:







ISBN-10: 3319889680
Обложка/Формат: Soft cover
Страницы: 138
Вес: 0.24 кг.
Дата издания: 2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, color; 22 illustrations, color; 49 illustrations, black and white; xiv, 138 p. 71 illus., 22 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
Дополнительное описание: Introduction.- Representations of Emotions.- Human Annotation.- MIDI Features.- Hierarchical Emotion Detection in MIDI Files.



Acoustic Modeling for Emotion Recognition

Автор: Koteswara Rao Anne; Swarna Kuchibhotla; Hima Deept
Название: Acoustic Modeling for Emotion Recognition
ISBN: 3319155296 ISBN-13(EAN): 9783319155296
Издательство: Springer
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Цена: 9141.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents state of art research in speech emotion recognition. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.

From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces

Автор: Jacek Grekow
Название: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
ISBN: 331970608X ISBN-13(EAN): 9783319706085
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation.

Emotion-Based Approaches to Personnel Management: Emerging Research and Opportunities

Автор: Sara Fazzin
Название: Emotion-Based Approaches to Personnel Management: Emerging Research and Opportunities
ISBN: 1522588620 ISBN-13(EAN): 9781522588627
Издательство: Mare Nostrum (Eurospan)
Цена: 18295.00 р.
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Описание: Organizations have traditionally focused on competitive advantage strategies to improve their companies. However, new research points to the evaluation of employees' thoughts and emotions in the workplace in order to help shape organizational culture in a way that could react, adapt, and evolve to external changes with speed and efficiency. Emotion-Based Approaches to Personnel Management: Emerging Research and Opportunities provides conceptual frameworks, analysis, and discussion of the issues concerning organizational behavior through the lens of organizational culture and emotions. The content within this publication examines diversity, consumer behavior, and emotional intelligence and is designed for managers, human resources officers, business professionals, academicians, students, and researchers.

Feelings and Emotion-Based Learning

Автор: Jennifer A. Hawkins
Название: Feelings and Emotion-Based Learning
ISBN: 3319660551 ISBN-13(EAN): 9783319660554
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book explores academic learning theories in relation to modern cognitive research. This volume provides rich case studies and empirical data, and shows that acknowledging feelings during and after learning experiences helps to solve cognitive difficulties and aids motivation and self-reflection.

Human Emotion Recognition from Face Images

Автор: Asit Barman.; Paramartha Dutta
Название: Human Emotion Recognition from Face Images
ISBN: 9811538824 ISBN-13(EAN): 9789811538827
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition.


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