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 resu...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Anne, Koteswara Rao (Author), Kuchibhotla, Swarna (Author), Vankayalapati, Hima Deepthi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Subjects:
Signal processing.
Computational linguistics.
User interfaces (Computer systems).
Human-computer interaction.
Acoustics.
Signal, Speech and Image Processing .
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Emotion Recognition using Prosodic features
  • Emotion Recognition using Spectral features
  • Emotional Speech Corpora
  • Classification Models
  • Comparative Analysis of Classifiers in emotion recognition
  • Summary and Conclusions.

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