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
breizhn/tPLCnet
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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
xiph/lpcnet
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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.
