Abstract
The automatic quantification of the speech quality is an important and unsolved problem. The ability this task to be executed in real time is particularly interesting. Many parameters affect the voice quality, but only subjective assessments are decisive. The article makes a proposal to create cost effective and efficient solution for prediction the subjective speech quality assessment. A neural network is used as a customer. For training of the neural network, BYE Statistics is used. It gives the client's view for the voice quality. Result of some practical experiments is given in article.
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.
