Abstract
The Speech Intelligibility Index (SII) estimates speech intelligibility based on the audibility of speech cues across frequency. The frequency importance function gives the relative contribution to the SII of the speech audibility at different frequencies. The frequency importance function is usually estimated from the intelligibility data using a complicated multi-step procedure. This paper presents a new procedure for computing the frequency importance function directly from the intelligibility data based on nonlinear joint optimization of the frequency importance function and the SII curve-fitting parameters. An example of using the new approach is presented for previously published W-22 word list intelligibility data.
Sign-in/Register to access full text options 
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.
