Open AccessA Brief Survey on Emotion Based Text to Speech Conversion System
Author(s) -
Bhushan Hemant Dhimate,
Manjiri Vitthal Khopade,
Avadhoot Yogesh Dhere,
Supriya Dhanaraj Dhumale
Publication year - 2021
Publication title -
international journal of soft computing and engineering
Language(s) - English
Resource type - Journals
ISSN - 2231-2307
DOI - 10.35940/ijsce.a3529.0911121
Subject(s) - computer science , speech synthesis , speech recognition , natural language processing , speech analytics , artificial intelligence , active listening , naive bayes classifier , artificial neural network , support vector machine , speech corpus , psychology , communication
Text to speech conversion is one of the applications of machine learning. It is widely used in search engines, standalone applications, web applications, chatbots and android applications. But still there is need to upgrade text to speech system so that we can get more interactive and user-friendly application. Traditional text to speech application has monotonous voice as output which does not has emotions in it and seems to be more mechanized. So, there is need to improvise the existing system by embedding the flavour of emotions in it. Existing text to speech cannot be used in story telling applications also it does not provide effective communication. Most of the Text to Speech systems are developed using algorithms such as Support Vector Machine (SVM), Naïve Bayes etc. Emotion Based Text to Speech System will help to improvise the existing Text to Speech system. With the help of machine learning and deep learning algorithm such as Recurrent Neural Network can be used for performing sentiment analysis and semantic analysis on the input text. We are going to use neural network which is more effective and help to maintain a relation between previous word and next word. Emotion based text to speech system will be able to identify four emotions ‘happy’, ‘sad’, ‘angry’ and ‘neutral’. Emotion based text to speech system will be beneficial for educational purpose like listening stories from storytelling applications for young budding children. Emotion based text to speech is going to be serviceable for visually impaired individuals.