As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this work prosodic information is considered in order to improve current state-of-the-art Automatic Speaker Verification (ASV) systems. A system based on pitch and energy curves is combined with a traditional MFCC based one to determine whether simple short-term prosodic information is useful. Experiments carried out over read speech show that there is not significant improvement in using short-term prosody. Results are presented and discussed.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.