Real Time system for handling customer queries using Twilio, Assembly Ai and NLP

Author:

K PoornaPushkala1,D Pushgara Rani2,Samundeswari S.3,J Megala1

Affiliation:

1. Sri Sairam Institute of Technology,Department of Information Technology

2. Sri Sairam Institute of Technology,Department of Electronics and Communication Engineering

3. Sri Sairam Engineering College,Department of Computer Science and Engineering

Publisher

IEEE

Reference10 articles.

1. Speech to text conversion for multilingual languages

2. Preprocessing Techniques for High Quality Text Extraction from Text Images;alan;2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT),0

3. Overview of the speech recognition technology;jianliang;2012 Fourth International Conference on Computational and Information Sciences,0

4. Design of voice to text conversion and management program based on Google Cloud Speech API;jungyoon;2018 International Conference on Computational Science and Computational Intelligence (CSCI),0

5. Real-Time Text & Speech Translation Using Sequence To Sequence Approach;dikshita;2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA),0

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1. Voices Unveiled: Quality of Experience in Collaborative VR via AssemblyAI and NASA-TLX Analysis;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18

2. Real-Time Fire Surveillance with Machine Learning Twilio Integration;IRO Journal on Sustainable Wireless Systems;2024-06

3. Go Green: ReUse LED Tube Light and Make it WhatsApp Enabled Using ESP Module, Twilio, and ThingESP;International Journal of Case Studies in Business, IT, and Education;2024-05-17

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