Hybrid packet loss concealment for real-time networked music applications
AI Mezza, M Amerena, A Bernardini… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Real-time audio communications over IP have become essential to our daily lives. Packet-
switched networks, however, are inherently prone to jitter and data losses, thus creating a …
switched networks, however, are inherently prone to jitter and data losses, thus creating a …
RPCA-based real-time speech and music separation method
The improvement of the performance of online separating speech and music is an NP
problem and the separation optimization increases the complexity of the method in a Robust …
problem and the separation optimization increases the complexity of the method in a Robust …
Optimal fractional linear prediction with restricted memory
T Skovranek, V Despotovic… - IEEE Signal Processing …, 2019 - ieeexplore.ieee.org
Linear prediction is extensively used in modeling, compression, coding, and generation of
speech signal. Various formulations of linear prediction are available, both in time and …
speech signal. Various formulations of linear prediction are available, both in time and …
Speech dereverberation based on convex optimization algorithms for group sparse linear prediction
D Giacobello, TL Jensen - 2018 IEEE International Conference …, 2018 - ieeexplore.ieee.org
In this paper, we consider methods for improving far-field speech recognition using
dereverberation based on sparse multi-channel linear prediction. In particular, we extend …
dereverberation based on sparse multi-channel linear prediction. In particular, we extend …
A mapping model of spectral tilt in normal-to-Lombard speech conversion for intelligibility enhancement
G Li, R Hu, R Zhang, X Wang - Multimedia Tools and Applications, 2020 - Springer
Environmental noise degrades the speech intelligibility when listening to the phone.
Although the phone has a clean signal source, it is still difficult for the listener to get …
Although the phone has a clean signal source, it is still difficult for the listener to get …
A general framework for incorporating time–frequency domain sparsity in multichannel speech dereverberation
Blind multichannel speech dereverberation methods based on multichannel linear
prediction (MCLP) estimate the dereverberated speech component without any knowledge …
prediction (MCLP) estimate the dereverberated speech component without any knowledge …
Adaptive Sparse Linear Prediction in Fixed-Filter ANC Headphone Applications for Multi-Speaker Speech Reduction
In some cases, speech can be a disturbing source of ambient noise. Active noise control
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature and …
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature and …
Least 1-norm pole-zero modeling with sparse deconvolution for speech analysis
In this paper, we present a speech analysis method based on sparse pole-zero modeling of
speech. Instead of using the all-pole model to approximate the speech production filter, a …
speech. Instead of using the all-pole model to approximate the speech production filter, a …
Missing sample estimation based on high-order sparse linear prediction for audio signals
The restoration of click degraded audio signals is important to achieve acceptable audio
quality in many old audio media. Restoration by missing sample estimation based on …
quality in many old audio media. Restoration by missing sample estimation based on …
Restoration of click degraded speech and music based on high order sparse linear prediction
Clicks are localized degradation that affect most archived audio media. Click degradation
are objectionable to the listener and should be suppressed to make the audio acceptable …
are objectionable to the listener and should be suppressed to make the audio acceptable …