z-logo
open-access-imgOpen Access
Call Transcription and Text Classification - A Review
Author(s) -
Aiswarya Lakshmi,
G. Anaswara,
Apoorva Eliza,
R. Dhanusha,
Gayathry Mohan,
P. Sreelekshmi
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018916619
Subject(s) - computer science , transcription (linguistics) , information retrieval , world wide web , linguistics , philosophy
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom