P. Malathi, G. R. Suresh, Easwari Engineering College, Chennai, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.05.05
International Journal of Advanced Information and Communication Technology
Received On : November 09, 2016
Revised On : December 17, 2016
Accepted On : January 12, 2016
Published On : February 05, 2016
Volume 03, Issue 02
Pages : 442-445
Abstract
Laryngectomees are patients suffering from Laryngeal Cancer who undergo the removal of the Larynx and obviously lose a part of their vocal folds. The post surgery speech therapy for such patients are of three forms either of them preferred by the patients. They include esophageal speech, tracheoesophageal speech and electrolaryngeal speech or Alarynx speech. The features extracted in the above cited speech and the normal speech differs in their accuracy. This paper discusses the various analyses and enhancement techniques involved by various researchers.
Keywords
Esophageal Speech, Tracheoesophageal Speech, Electro Laryngeal Speech, Hidden Markov Model, Gaussian Mixture Model, Eigen Vectors
Cite this article
P. Malathi, “Performance Analysis of Feature Extraction and Enhancement of Esophageal Speech” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.442-445, February 05, 2016.
Copyright
© 2016 P. Malathi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.