LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech

Author:

Anand Harshvardhan1,Begam Nansi1,Verma Richa1,Ghosh Sourav2,Harichandana B.S.S2,Kumar Sumit2

Affiliation:

1. Sikkim Manipal Institute of Technology,Dept. of Electronics and Communication,India

2. Samsung R&D Institute,Bangalore,India

Publisher

IEEE

Reference16 articles.

1. Speech synthesis systems: disadvantages and limitations;kuligowska;International Journal of Engineering Research and Technology,2018

2. Social text normalization using contextual graph random walks;hassan;Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers),2013

3. Detecting and protecting personally identifiable information through machine learning techniques;da silva,2020

4. Using NLP and Machine Learning to Detect Data Privacy Violations

5. Emplite: A lightweight sequence labeling model for emphasis selection of short texts;agarwal,2020

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