Call Us 080-41656200 (Mon-Sat: 10AM-8PM)
Free Shipping above Rs. 1499
Cash On Delivery*

Emotion Recognition on Mandarin Speech

 

Marketed By :  VDM Verlag Dr. Müller   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

 

Check Your Delivery Options

 
Rs. 4,396

Availability: In stock

 
  • Product Description
 

In this work, we proposed a weighted discrete k-nearest neighborhood(WD-KNN) classification algorithm and compared it with several weighting schemes on KNN-based classifiers, including traditional K-Nearest Neighborhood (KNN), weighted KNN (WKNN), KNN classification using Categorical Average Patterns (WCAP), and WD-KNN. The highest recognition rate is 81.4% with WD-KNN classifier weighted by Fibonacci sequence. Then we evaluated the performance of several classifiers, including KNN, MKNN, WKNN, LDA, QDA, GMM, HMM, SVM, BPNN, and the proposed WD-KNN, for detecting emotion from Mandarin speech. The results of experiments and McNemar''s test show that the proposed WD-KNN classifier achieves best accuracy for the 5-class emotion recognition and outperforms other classification techniques. Finally, we implemented an emotion radar chart to present the intensity of each emotion component in the speech in our emotion recognition system. Such system can be further used in speech training, especially for hearing-impaired to learn how to express emotions in speech more naturally.

Product Specifications
SKU :COC72130
AuthorYu-Te Chen,Jun-Heng Yeh and Tsang-Long Pao
LanguageEnglish
BindingPaperback
Number of Pages144
Publishing Year2011-08-12T00:00:00.000
ISBN978-3639373868
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandVDM Verlag Dr. Müller
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00
0 Review(s)