A low complexity packet loss concealment algorithm for ITU-T G.722

Kovesi, B.; Ragot, S.

doi:10.1109/icassp.2008.4518723

Cited by 8 publications

(15 citation statements)

References 2 publications

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“…An improved version of the muting curve proposed by Kovesi et al is shown in Fig. 3b [22]. In their work, the last linear part of the muting curve is changed in a way that the complete muting is achieved after 60 ms for the Other cases class and after 30 ms for the UV transition class in which the muting is slowly made than that of the original muting.…”

Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

“…3 Muting factor according to three classes of the signal in a G.722 Appendix IV and b Kovesi [22] time-scaled and shifted version of (4) in accordance with the muting curve:…”

Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

“…Also, in contrast with the original method, the muting factor G(n) does not become zero after 320 samples for both sigmoid and raised-cosine functions to offer a great amount of flexibility for the muting curve. As a consequence, these parametric shaping functions, which decrease monotonically, can offer more flexibility to the shape of the muting curve than that of the reference muting curves [21,22]. Since it is well-known that the Other cases class which includes unvoiced, weakly voiced, and voiced signals plays a dominant role in the perceived speech quality of reconstructed speech, we use the parametric shaping functions as the muting curve to the Other cases class only, while (2) is applied to the Transient and UV transition classes.…”

Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

“…This minor change of the muting curve can lead to improve the speech quality without increasing worst-case complexity however, the optimization method used in [22] is not described and the performance might still not be suboptimal. it is not optimized for listening quality, whereas our proposed muting technique is optimized for both objective and subjective speech quality measures.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Kovesi et al proposed an improved version of muting curve in G.722 Appendix IV [22] at which the muting is performed more slowly than the original muting scheme using the piecewise linear muting curve. This minor change of the muting curve can lead to improve the speech quality without increasing worst-case complexity however, the optimization method used in [22] is not described and the performance might still not be suboptimal.…”

Section: Introductionmentioning

confidence: 99%

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Novel adaptive muting technique for packet loss concealment of ITU-T G.722 using optimized parametric shaping functions

Lee

Chang

2016

J AUDIO SPEECH MUSIC PROC.

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Adaptive muting method using an optimized parametric shaping function as a part of the ITU-T G.722 Appendix IV packet loss concealment algorithm is proposed. The packet loss concealment algorithm incorporating an adaptive muting scheme is known to prevent the generation of unpleasant sounds during packet loss concealment. However, original muting uses a piece-wise linear muting curve according to packet errors so that our muting approach uses non-linear parametric shaping functions including sigmoid and raised-cosine. Training is substantially performed to determine the parameters of the two shaping functions in terms of objective speech quality measures, and optimal parameters are finally selected by subjective speech quality. Through extensive experiments, this proposed muting technique turns out to improve the performance of the reference muting mechanisms in the packet loss concealment algorithm of the G.722 Appendix IV under various experimental conditions.

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Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

“…3 Muting factor according to three classes of the signal in a G.722 Appendix IV and b Kovesi [22] time-scaled and shifted version of (4) in accordance with the muting curve:…”

Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

Section: Review Of the Reference Muting Mechanismsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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