Database Development and Comparative Analysis of Isolated, Spoken Hindi Hybrid Paired Words & Spoken Hindi Partially Reduplicated Words Using Endpoint Detection
Authors
Varsha Gupta, Anuj Kumar Sharma, Anand Singh
Corresponding Author
Varsha Gupta
Available Online April 2013.
- Abstract
This paper describes the database development of three different types of spoken words Isolated, Spoken Hindi Hybrid Paired Words and Spoken Hindi Partially Reduplicated words. The main focus is on the comparative analysis of these Words by using endpoint detection algorithm. The development is done in the robust environment. Different male and female speakers are selected and recording is done in normal mode. Endpoint detection algorithm is used for the analysis purpose of various parameters such as Total duration of time, Number of samples, Root mean square value and Mean power (Intensity) in air of speech signal.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Varsha Gupta AU - Anuj Kumar Sharma AU - Anand Singh PY - 2013/04 DA - 2013/04 TI - Database Development and Comparative Analysis of Isolated, Spoken Hindi Hybrid Paired Words & Spoken Hindi Partially Reduplicated Words Using Endpoint Detection BT - Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013) PB - Atlantis Press SP - 485 EP - 492 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6362 ID - Gupta2013/04 ER -