Deep Learning Speech Synthesis Model for Word/Character-Level Recognition in the Tamil Language

As electronics and the increasing popularity of social media are widely used, a large amount of text data is created at unprecedented rates. All data created cannot be read by humans, and what they discuss in their sphere of interest may be found. Modeling of themes is a way to identify subjects in...

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Bibliographic Details
Published inInternational journal of e-collaboration Vol. 19; no. 4; pp. 1 - 14
Main Authors Rajendran, Sukumar, Raja, Kiruba Thangam, Nagarajan G, Stephen Dass A, Sandeep Kumar M, Jayagopal, Prabhu
Format Journal Article
LanguageEnglish
Published IGI Global 01.07.2023
Subjects
Analysis
Social networks
United Kingdom
India
Online AccessGet full text
ISSN1548-3673
1548-3681
DOI10.4018/IJeC.316824

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Summary:As electronics and the increasing popularity of social media are widely used, a large amount of text data is created at unprecedented rates. All data created cannot be read by humans, and what they discuss in their sphere of interest may be found. Modeling of themes is a way to identify subjects in a vast number of texts. There has been a lot of study on subject-modeling in English. At the same time, millions of people worldwide speak Tamil; there is no great development in resource-scarce languages such as Tamil being spoken by millions of people worldwide. The consequences of specific deep learning models are usually difficult to interpret for the typical user. They are utilizing various visualization techniques to represent the outcomes of deep learning in a meaningful way. Then, they use metrics like similarity, correlation, perplexity, and coherence to evaluate the deep learning models.
ISSN:1548-3673
1548-3681
DOI:10.4018/IJeC.316824