International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 179 - Number 28 |
Year of Publication: 2018 |
Authors: Aiswarya Lakshmi Thakka Ravunniy, Anaswara G. K., Apoorva Eliza John, Dhanusha R., Gayathry Mohan, Sreelekshmi P. S. |
10.5120/ijca2018916619 |
Aiswarya Lakshmi Thakka Ravunniy, Anaswara G. K., Apoorva Eliza John, Dhanusha R., Gayathry Mohan, Sreelekshmi P. S. . Call Transcription and Text Classification - A Review. International Journal of Computer Applications. 179, 28 ( Mar 2018), 9-15. DOI=10.5120/ijca2018916619
A common method of data exchange is speech. Keeping track of every word exchanged through verbal means is difficult. Mostly, verbal communication is carried out through voice calls. For keeping tab of information exchanged, calls can be converted to text. These text files can be classified according to the content of the document. Also, unwanted call recordings have to be eliminated. This research contains the various methods required to implement call transcription and text classification. More than 50 papers were reviewed regarding the sections, call recording, transcription and ordering of text documents.