Abstract
Lexical stress is an important prosodic feature,especially for stress-timed language such as English.To overcome the defects of fixed frame-length features,pitch synchronization feature analysis method was proposed while Pitch Synchronization Energy(PSE) and Pitch Synchronization Peak(PSP) features were defined and extracted.Their contributions,along with traditional features and their combinations,to English lexical stress detection were evaluated with ISLE database.Experimental results show that the combination of new feature and traditional features demonstrates a 6.65% error rate reduction compared with using traditional ones.
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 callDisclaimer: 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.
