An Effective Machine Learning (ML) Approach to Quality Assessment of Voice Over IP (VoIP) Calls
نویسندگان
چکیده
منابع مشابه
Simple Voice over IP (VoIP) Implementation
Voice over IP (VoIP) technology has many advantages over the traditional Public Switched Telephone Networks. In our project, we realize a simple VoIP software, which mainly consists of a speech collection and playing back part, a speech CODEC and a networking API. For speech collection/playing part, we use the software (C++ class) and the hardware (sound card) to realize its functions. For the ...
متن کاملVoice over IP (VoIP) SIP Peering Use Cases
This document depicts many common Voice over IP (VoIP) use cases for Session Initiation Protocol (SIP) peering. These use cases are categorized into static and on-demand, and then further subcategorized into direct and indirect. These use cases are not an exhaustive set, but rather the most common use cases deployed today. Status of This Memo This document is not an Internet Standards Track spe...
متن کاملCodec Schemes Selection for Wireless Voice over IP (VoIP)
With the maturity in mobile communication, the new mobile communication systems are shaped up gradually especially for the 3rd Generation. The next generation mobile communication, the 4th Generation wireless System, will be converged on Internet Protocol like wired environment. Although the traffic is not only voice, how the voice over IP in wireless environment can be accepted satisfactory, i...
متن کاملEarly Estimation of Voice over IP Quality
Users of Voice over IP (VoIP) applications are sensitive to the quality of an ongoing call. We hypothesize that the quality of a VoIP session can be estimated from the first few seconds of the session and this can be generalized to other VoIP calls. Our approach is an in-band probing mechanism and does not require any external monitoring schemes or network support. We show by post processing Vo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Networking Letters
سال: 2020
ISSN: 2576-3156
DOI: 10.1109/lnet.2020.2984721