Download e-book for iPad: Acoustic Modeling for Emotion Recognition by Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi

By Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati

ISBN-10: 3319155296

ISBN-13: 9783319155296

ISBN-10: 331915530X

ISBN-13: 9783319155302

This ebook offers kingdom of paintings learn in speech emotion reputation. Readers are first awarded with easy examine and purposes – steadily extra strengthen info is supplied, giving readers complete advice for classify feelings via speech. Simulated databases are used and effects largely in comparison, with the good points and the algorithms applied utilizing MATLAB. a variety of emotion popularity versions like Linear Discriminant research (LDA), Regularized Discriminant research (RDA), aid Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored intimately utilizing prosody and spectral beneficial properties, and have fusion strategies.

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Extra resources for Acoustic Modeling for Emotion Recognition

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Wendy et al claims that the mahalanobis distance measure proposed by Moon’s [36] gives better performance when compared to the mahalanobis distance measure, which is defined as in Eq. 43) Then distance measure formula is changed as n d=− 1 λj ytst,j yi,j j =1 Where λj is the j th eigenvalues corresponding to j th eigenvector. 7 51 Hausdorff Distance In this section we used a special distance metric which is able to compute the distance between different sized matrices having a single common dimension, like the acoustic matrices representing our speech feature vectors.

For different pattern recognition tasks, the statistical approach performs well for both supervised and unsupervised types. 1 6 Classification Models Linear Discriminant Analysis The classical Linear Discriminant Analysis (LDA) is also called as Fisher’s Linear Discriminant (FLD). This method was developed by Robert Fisher in 1936. In this method, training and test sets are projected into the same subspace and the similarities between these data sets are identified. The Fisher’s linear discriminant algorithm is explained in Fig.

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Acoustic Modeling for Emotion Recognition by Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati

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