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Flow-PLC: Towards Efficient Packet Loss Concealment with Flow Matching
- Authors
- Yang, Da-Hee; Chang, Joon-Hyuk
- Issue Date
- Mar-2025
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Packet loss; Vectors; Training; Measurement; Real-time systems; Frequency modulation; Convolution; Diffusion models; Computational modeling; Decoding; Packet loss concealment; flow matching
- Citation
- IEEE Signal Processing Letters, v.32, pp 1430 - 1434
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Signal Processing Letters
- Volume
- 32
- Start Page
- 1430
- End Page
- 1434
- ISSN
- 1070-9908
1558-2361
- Abstract
- Recent advancements in packet loss concealment (PLC) have introduced diffusion-based generative models that offer high-quality audio reconstruction. However, their high computational costs make them impractical for real-time applications. In this letter, we present Flow-PLC, an efficient PLC model based on the flow-matching framework, designed to address these computational challenges. Flow-PLC achieves a remarkable 23× reduction in inference time compared to diffusion-based PLC models, requiring only five sampling steps to achieve near-optimal reconstruction. By significantly reducing computational complexity while maintaining high-quality results, Flow-PLC represents a substantial advancement in the development of efficient and practical generative PLC systems.
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Related Researcher
- Chang, Joon-Hyuk
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)