Improving Performance of Real-Time Full-Band Blind Packet-Loss Concealment with Predictive Network

Viet Anh Nguyen; Anh H.T. Nguyen; Andy W.H. Khong

doi:10.1109/ICASSP49357.2023.10097132

Improving Performance of Real-Time Full-Band Blind Packet-Loss Concealment with Predictive Network

Viet Anh Nguyen, Anh H.T. Nguyen, Andy W.H. Khong

Research output: Contribution to journal › Conference article › peer-review

7 Citations (Scopus)

Abstract

Packet loss concealment (PLC) is a tool for enhancing speech degradation caused by poor network conditions or underflow/overflow in audio processing pipelines. We propose a real-time recurrent method that leverages previous outputs to mitigate artefact of lost packets without the prior knowledge of loss mask. The proposed full-band recurrent network (FRN) model operates at 48 kHz, which is suitable for high-quality telecommunication applications. Experiment results highlight the superiority of FRN over an offline non-causal baseline and a top performer in a recent PLC challenge.

Original language	English
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
DOIs	https://doi.org/10.1109/ICASSP49357.2023.10097132
Publication status	Published - 2023
Externally published	Yes
Event	48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece Duration: Jun 4 2023 → Jun 10 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

Blind packet loss concealment
real-time
speech enhancement
VoIP

Access to Document

10.1109/ICASSP49357.2023.10097132

Cite this

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title = "Improving Performance of Real-Time Full-Band Blind Packet-Loss Concealment with Predictive Network",

abstract = "Packet loss concealment (PLC) is a tool for enhancing speech degradation caused by poor network conditions or underflow/overflow in audio processing pipelines. We propose a real-time recurrent method that leverages previous outputs to mitigate artefact of lost packets without the prior knowledge of loss mask. The proposed full-band recurrent network (FRN) model operates at 48 kHz, which is suitable for high-quality telecommunication applications. Experiment results highlight the superiority of FRN over an offline non-causal baseline and a top performer in a recent PLC challenge.",

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AU - Nguyen, Anh H.T.

AU - Khong, Andy W.H.

PY - 2023

Y1 - 2023

N2 - Packet loss concealment (PLC) is a tool for enhancing speech degradation caused by poor network conditions or underflow/overflow in audio processing pipelines. We propose a real-time recurrent method that leverages previous outputs to mitigate artefact of lost packets without the prior knowledge of loss mask. The proposed full-band recurrent network (FRN) model operates at 48 kHz, which is suitable for high-quality telecommunication applications. Experiment results highlight the superiority of FRN over an offline non-causal baseline and a top performer in a recent PLC challenge.

AB - Packet loss concealment (PLC) is a tool for enhancing speech degradation caused by poor network conditions or underflow/overflow in audio processing pipelines. We propose a real-time recurrent method that leverages previous outputs to mitigate artefact of lost packets without the prior knowledge of loss mask. The proposed full-band recurrent network (FRN) model operates at 48 kHz, which is suitable for high-quality telecommunication applications. Experiment results highlight the superiority of FRN over an offline non-causal baseline and a top performer in a recent PLC challenge.

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KW - speech enhancement

KW - VoIP

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JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

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Improving Performance of Real-Time Full-Band Blind Packet-Loss Concealment with Predictive Network

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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