2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
Parametric Object Coding in IVAS: Efficient Coding of Multiple Audio Objects at Low Bit Rates
Andrea Eichenseer, Srikanth Korse, Guillaume Fuchs +1
The recently standardized 3GPP codec for Immersive Voice and Audio Services (IVAS) includes a parametric mode for efficiently coding multiple audio objects at low bit rates. In thi…
FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates
Nicola Pia, Martin Strauss, Markus Multrus +1
This paper introduces FlowMAC, a novel neural audio codec for high-quality general audio compression at low bit rates based on conditional flow matching (CFM). FlowMAC jointly lear…
On Improving Error Resilience of Neural End-to-End Speech Coders
Kishan Gupta, Nicola Pia, Srikanth Korse +3
Error resilient tools like Packet Loss Concealment (PLC) and Forward Error Correction (FEC) are essential to maintain a reliable speech communication for applications like Voice ov…
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization
Andreas Brendel, Nicola Pia, Kishan Gupta +3
Neural audio coding has emerged as a vivid research direction by promising good audio quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end tra…
NESC: Robust Neural End-2-End Speech Coding with GANs
Nicola Pia, Kishan Gupta, Srikanth Korse +2
Neural networks have proven to be a formidable tool to tackle the problem of speech coding at very low bit rates. However, the design of a neural coder that can be operated robustl…