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Papers Packet Loss Concealment

“Packet Loss Concealment” 태그가 달린 논문 19편 · 필터 해제

ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling

2025-02-15 · Sixian Wang, Jincheng Dai, Xiaoqi Qin, Ke Yang 외

Recent advancements in neural image codecs (NICs) are of significant compression performance, but limited attention has been paid to their error resilience. These resulting NICs tend to be sensitive to packet losses, whi…

Image CompressionMissing ValuesPacket Loss Concealment

SoundSpring: Loss-Resilient Audio Transceiver with Dual-Functional Masked Language Modeling

2025-01-22 · Shengshi Yao, Jincheng Dai, Xiaoqi Qin, Sixian Wang 외

In this paper, we propose "SoundSpring", a cutting-edge error-resilient audio transceiver that marries the robustness benefits of joint source-channel coding (JSCC) while also being compatible with current digital commun…

Audio CompressionLanguage ModelingLanguage ModellingMasked Language Modeling+1

The IEEE-IS2 2024 Music Packet Loss Concealment Challenge

2024-09-27 · Alessandro Ilic Mezza, Alberto Bernardini

We present the IEEE-IS2 2024 Music Packet Loss Concealment Challenge. We begin by detailing the challenge rules, followed by an overview of the provided baseline system, the blind test set, and the evaluation methodology…

Packet Loss Concealment

Synchronous Multi-modal Semantic Communication System with Packet-level Coding

2024-08-08 · Yun Tian, Jingkai Ying, Zhijin Qin, Ye Jin 외

Although the semantic communication with joint semantic-channel coding design has shown promising performance in transmitting data of different modalities over physical layer channels, the synchronization and packet-leve…

Packet Loss ConcealmentSemantic Communication

On Improving Error Resilience of Neural End-to-End Speech Coders

2024-06-13 · Kishan Gupta, Nicola Pia, Srikanth Korse, Andreas Brendel 외

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 over Internet Protocol (VoIP), where packe…

Packet Loss Concealment

BS-PLCNet 2: Two-stage Band-split Packet Loss Concealment Network with Intra-model Knowledge Distillation

2024-06-10 · Zihan Zhang, Xianjun Xia, Chuanzeng Huang, Yijian Xiao 외

Audio packet loss is an inevitable problem in real-time speech communication. A band-split packet loss concealment network (BS-PLCNet) targeting full-band signals was recently proposed. Although it performs superiorly in…

Knowledge DistillationPacket Loss Concealment

BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators

2024-01-08 · Zihan Zhang, Jiayao Sun, Xianjun Xia, Chuanzeng Huang 외

Packet loss is a common and unavoidable problem in voice over internet phone (VoIP) systems. To deal with the problem, we propose a band-split packet loss concealment network (BS-PLCNet). Specifically, we split the full-…

Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Multi-Task LearningPacket Loss Concealment+2

A Time-Frequency Generative Adversarial based method for Audio Packet Loss Concealment

2023-07-28 · Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini

Packet loss is a major cause of voice quality degradation in VoIP transmissions with serious impact on intelligibility and user experience. This paper describes a system based on a generative adversarial approach, which …

Image-to-Image TranslationPacket Loss ConcealmentTranslation

DRED: Deep REDundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoder

2022-12-08 · Jean-Marc Valin, Jan Büthe, Ahmed Mustafa, Michael Klingbeil

Despite recent advancements in packet loss concealment (PLC) using deep learning techniques, packet loss remains a significant challenge in real-time speech communication. Redundancy has been used in the past to recover …

Packet Loss Concealment

Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model

2022-05-11 · Jean-Marc Valin, Ahmed Mustafa, Christopher Montgomery, Timothy B. Terriberry 외

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…

Packet Loss ConcealmentSpeech EnhancementSpeech Synthesis

tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context

2022-04-04 · Nils L. Westhausen, Bernd T. Meyer

This paper introduces a real-time time-domain packet loss concealment (PLC) neural-network (tPLCnet). It efficiently predicts lost frames from a short context buffer in a sequence-to-one (seq2one) fashion. Because of its…

Packet Loss Concealment

A Neural Vocoder Based Packet Loss Concealment Algorithm

2022-03-26 · Yao Zhou, Changchun Bao

The packet loss problem seriously affects the quality of service in Voice over IP (VoIP) sceneries. In this paper, we investigated online receiver-based packet loss concealment which is much more portable and applicable.…

Packet Loss Concealment

End-to-End Neural Speech Coding for Real-Time Communications

2022-01-24 · Xue Jiang, Xiulian Peng, Chengyu Zheng, Huaying Xue 외

Deep-learning based methods have shown their advantages in audio coding over traditional ones but limited attention has been paid on real-time communications (RTC). This paper proposes the TFNet, an end-to-end neural spe…

DecoderPacket Loss ConcealmentSpeech Enhancement

DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels

2021-12-01 · Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajić

In edge-cloud collaborative intelligence (CI), an unreliable transmission channel exists in the information path of the AI model performing the inference. It is important to be able to simulate the performance of the CI …

image-classificationImage ClassificationPacket Loss Concealment

Speech Prediction using an Adaptive Recurrent Neural Network with Application to Packet Loss Concealment

2021-11-15 · Reza Lotfidereshgi, Philippe Gournay

This paper proposes a novel approach for speech signal prediction based on a recurrent neural network (RNN). Unlike existing RNN-based predictors, which operate on parametric features and are trained offline on a large c…

Packet Loss Concealment

Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection

2021-01-30 · Ivan V. Bajić

Edge devices, such as cameras and mobile units, are increasingly capable of performing sophisticated computation in addition to their traditional roles in sensing and communicating signals. The focus of this paper is on …

Image InpaintingObjectobject-detectionObject Detection+1

A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications

2020-07-14 · Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi

Networked Music Performance (NMP) is envisioned as a potential game changer among Internet applications: it aims at revolutionizing the traditional concept of musical interaction by enabling remote musicians to interact …

Packet Loss Concealment

On Deep Speech Packet Loss Concealment: A Mini-Survey

2020-05-15 · Mostafa M. Mohamed, Mina A. Nessiem, Björn W. Schuller

Packet-loss is a common problem in data transmission, using Voice over IP. The problem is an old problem, and there has been a variety of classical approaches that were developed to overcome this problem. However, with t…

Deep LearningPacket Loss ConcealmentSurvey

ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition

2020-05-15 · Mostafa M. Mohamed, Björn W. Schuller

Packet loss is a common problem in data transmission, including speech data transmission. This may affect a wide range of applications that stream audio data, like streaming applications or speech emotion recognition (SE…

Emotion RecognitionPacket Loss ConcealmentSpeech Emotion Recognition
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