The Feature Extraction Algorithm for the Production of Emotions in Text-to-Speech (TTS) System for an Indian Regional Language

The Feature Extraction Algorithm for the Production of Emotions in Text-to-Speech (TTS) System for an Indian Regional Language

Author: 
Ananthashayana, V. K.
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2010
Record type: 
Responsibility: 
Goswami, Debjani, jt. author
Kallimani, Jagadish S., jt. author
Editor: 
Godara, Varuna
Source: 
Pervasive Computing for Business
Abstract: 

Text-to-speech synthesis is a complex combination of language processing, signal processing and computer science. Ubiquitous computing (ubicomp) is a post-desktop model of human-computer interaction in which information processing has been thoroughly integrated into everyday objects and activities. Speech synthesis is the generation of synthesized speech from text. This chapter deals with the development of a Text to Speech (TTS) Synthesis system for an Indian regional language by considering Bengali as the language. This chapter highlights various methods which may be used for speech synthesis and also it provides an overview on the problems and difficulties in Bengali text to speech conversion. Variations in the prosody (speech parameters – volume, pitch, intonation, amplitude) of the speech yields the emotional aspects (anger, happy, normal), which are applied to our developed TTS system.

Series: 
Advances in Business Information Systems and Analytics

CITATION: Ananthashayana, V. K.. The Feature Extraction Algorithm for the Production of Emotions in Text-to-Speech (TTS) System for an Indian Regional Language edited by Godara, Varuna . Hershey, PA : IGI Global , 2010. Pervasive Computing for Business - Available at: https://library.au.int/feature-extraction-algorithm-production-emotions-text-speech-tts-system-indian-regional-language