Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Machine learning-based Annotation of Customer-Operator Conversation Clips for Voice Activity Detection

Published in SIU, 2019

This study presents the development of a voiceactivity detection (VAD) system tested on call center telephonydata obtained from our local site. The concept of bag of audiowords (BoAW) combined with a naive Bayes classifier was appliedto achieve the task. It was formulated as a binary classificationproblem with speech as the positive class and silence/backgroundnoise as the negative class. All the processing was performed onthe Mel-frequency cepstral coefficients (MFCCs) extracted fromthe audio recordings. The results which are presented as accuracyscore and receiver operating characteristics (ROC) indicate anexcellent performance of the developed model. The system is to bedeployed within our call center to aid data analysis and improveoverall efficiency of the center.

Recommended citation: L.O. Iheme, Ş. Ozan, E. Akagündüz. (2019). "Machine learning-based Annotation of Customer-Operator Conversation Clips for Voice Activity Detection." SIU 2019. http://sukruozan.github.io/files/2019-SIU-2.pdf

talks

teaching