Abstract
Speech recognition is basically pattern classification task. It is divided mainly into two major parts. The first part is speech signal processing and the second part is speech pattern recognition technique. This paper describes the database expansion & improvement of spoken Hindi Reduplicated words. The main focus is on the analysis of Spoken Hindi Reduplicated words by using endpoint detection algorithm. The improvement is done in the robust environment. Male and female speakers are selected from different agegroup to explore the acoustical variation in their utterances. Various emotions such as normal, happy, anger and surprise are taken for analysis of speech signal. 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
More From: International Journal of Computer Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
