Acoustic Modeling for Emotion Recognition - 8 Angebote vergleichen
| Preise | Sep. 15 | Apr. 19 | Okt. 19 |
|---|---|---|---|
| Schnitt | Fr. 0.00 (€ 0.00)¹ | Fr. 41.33 (€ 42.23)¹ | Fr. 46.67 (€ 47.68)¹ |
| Nachfrage |
1
Acoustic Modeling for Emotion Recognition (2015)
~EN NW EBISBN: 9783319155302 bzw. 331915530X, vermutlich in Englisch, Springer, neu, E-Book.
Lieferung aus: Schweiz, Sofort per Download lieferbar.
Acoustic Modeling for Emotion Recognition, This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. PDF, 14.03.2015.
Acoustic Modeling for Emotion Recognition, This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. PDF, 14.03.2015.
2
Acoustic Modeling for Emotion Recognition (2015)
~EN NW EBISBN: 9783319155302 bzw. 331915530X, vermutlich in Englisch, Springer, neu, E-Book.
Lieferung aus: Deutschland, Sofort per Download lieferbar.
Acoustic Modeling for Emotion Recognition This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. 14.03.2015, PDF.
Acoustic Modeling for Emotion Recognition This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. 14.03.2015, PDF.
3
Acoustic Modeling for Emotion Recognition (2015)
~EN NW EBISBN: 9783319155302 bzw. 331915530X, vermutlich in Englisch, Springer, neu, E-Book.
Lieferung aus: Deutschland, Sofort per Download lieferbar.
Acoustic Modeling for Emotion Recognition This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. 14.03.2015, PDF.
Acoustic Modeling for Emotion Recognition This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. 14.03.2015, PDF.
4
Acoustic Modeling for Emotion Recognition
~EN NW EB DLISBN: 9783319155302 bzw. 331915530X, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Schweiz, Lagernd, zzgl. Versandkosten.
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. eBook.
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. 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. eBook.
5
Acoustic Modeling for Emotion Recognition (2015)
EN NW EB DLISBN: 9783319155302 bzw. 331915530X, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
Lieferung aus: Brasilien, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Acoustic Modeling for Emotion Recognition (2015)
~EN PB NWISBN: 9783319155302 bzw. 331915530X, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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