Packet Loss Concealment
4 papers with code • 0 benchmarks • 0 datasets
Predicting audio packets lost during transmission.
Benchmarks
These leaderboards are used to track progress in Packet Loss Concealment
Most implemented papers
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels
In edge-cloud collaborative intelligence (CI), an unreliable transmission channel exists in the information path of the AI model performing the inference.
tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context
The model with the lowest complexity described in this paper reaches a robust PLC performance and consistent improvements over the zero-filling baseline for all metrics.
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model
As deep speech enhancement algorithms have recently demonstrated capabilities greatly surpassing their traditional counterparts for suppressing noise, reverberation and echo, attention is turning to the problem of packet loss concealment (PLC).
A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment
Packet loss is a major cause of voice quality degradation in VoIP transmissions with serious impact on intelligibility and user experience.