A novel tandem-free solution for multiparty VoIP conferences
called PASS (Peer-Aware Silence Suppression) is presented.
Similar to traditional tandem-free solutions, PASS introduces a
limit on the number of concurrent speakers in a conference. But in
contrast to traditional solutions, PASS silence suppression and
speaker selection are completely distributed, running on each
client. No speaker selection is performed at the bridge at all. This
configuration leads to better scalability, lower bandwidth
occupation and jitter buffer delay, and higher compatibility with a
wide variety of network topologies. The key component of PASS,
distributed silence suppression and speaker selection, is realized
through a robust approach proposed in this paper. Based on a voice
activity measure derived using machine learning techniques, this
approach is able to reliably suppress silence in complex
environments, and perform accurate and transparent speaker
selection as well.