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

View Sample PDF

Author(s): Jagadish S. Kallimani (M S Ramaiah Institute of Technology, India), V. K. Ananthashayana (M S Ramaiah Institute of Technology, India)and Debjani Goswami (IBM Technologies, India)
Copyright: 2010
Pages: 14
Source title: Pervasive Computing for Business: Trends and Applications
Source Author(s)/Editor(s): Varuna Godara (CEO of Sydney College of Management, Australia)
DOI: 10.4018/978-1-60566-996-0.ch003

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

Purchase

View The Feature Extraction Algorithm for the Production of Emotions in Text-to-Speech (TTS) System for an Indian Regional Language on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

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

Purchase

Abstract

Related Content

IRMA Sponsors