Recognition of Emotion from Speech: A Review
Year: 2012
Type: book-chapter
Abstract: Emotional speech recognition is an area of great interest for human-computer interaction. The system must be able to recognize the user’s emotion and perform the actions accordingly. It is essential to have a framework that includes various modules performing actions like speech to text conversion, feature extraction, feature selection and classification of those features to identify the emotions. The classifications of features involve the training of various emotional models to perform the classification appropriately. Another important aspect to be considered in emotional speech recognition is the database used for training the models. Then the features selected to be classified must be salient to identify the emotions correctly. The integration of all the above modules provides us with an application that can recognize the emotions of the user and give it as input to the system to respond appropriately.
Source: InTech eBooks
DOI: 10.5772/39246
Author: S. Ramakrishnan
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W1576079953