Robust Emotion Recognition using Spectral and Prosodic Features /

Robust Emotion Recognition using Spectral and Prosodic Features /

Detalles Bibliográficos
Autores principales: Rao, K. Sreenivasa. (Autor), Koolagudi, Shashidhar G. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Materias:
Signal processing.
Image processing.
Speech processing systems.
User interfaces (Computer systems).
Natural language processing (Computer science).
Computational linguistics.
Signal, Image and Speech Processing.
User Interfaces and Human Computer Interaction.
Natural Language Processing (NLP).
Computational Linguistics.
Tabla de Contenidos:
  • Introduction
  • Robust Emotion Recognition using Pitch Synchronous and Sub-syllabic Spectral Features
  • Robust Emotion Recognition using Word and Syllable Level Prosodic Features
  • Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features
  • Robust Emotion Recognition using Speaking Rate Features
  • Emotion Recognition on Real Life Emotions
  • Summary and Conclusions
  • MFCC Features
  • Gaussian Mixture Model (GMM).

Ejemplares similares