Frame error concealment
US-2015379998-A1 · Dec 31, 2015 · US
US10475455B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10475455-B2 |
| Application number | US-201715844004-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 15, 2017 |
| Priority date | Jun 21, 2013 |
| Publication date | Nov 12, 2019 |
| Grant date | Nov 12, 2019 |
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An approach is described that obtains spectrum coefficients for a replacement frame of an audio signal. A tonal component of a spectrum of an audio signal is detected based on a peak that exists in the spectra of frames preceding a replacement frame. For the tonal component of the spectrum a spectrum coefficients for the peak and its surrounding in the spectrum of the replacement frame is predicted, and for the non-tonal component of the spectrum a non-predicted spectrum coefficient for the replacement frame or a corresponding spectrum coefficient of a frame preceding the replacement frame is used.
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The invention claimed is: 1. A method for acquiring spectrum coefficients for a replacement frame of an audio signal, the method comprising: detecting a tonal component of a spectrum of an audio signal based on a peak that exists in the spectra of a last frame m−1 preceding a replacement frame m and a second to last frame m−2 preceding the replacement frame m; for the tonal component of the spectrum, predicting spectrum coefficients for the peak and its surrounding in the spectrum of the replacement frame m; and for the non-tonal component of the spectrum, using a non-predicted spectrum coefficient for the replacement frame m or a corresponding spectrum coefficient of a frame preceding the replacement frame m. 2. The method of claim 1 , wherein the spectrum coefficients for the peak and its surrounding in the spectrum of the replacement frame m are predicted based on a magnitude of the complex spectrum of the second to last frame m−2 preceding the replacement frame m and a predicted phase of the complex spectrum of the replacement frame m, and the phase of the complex spectrum of the replacement frame m is predicted based on the phase of the complex spectrum of the second to last frame m−2 preceding the replacement frame m and a phase shift between the last frame m−1 and the second to last frame m−2 preceding the replacement frame m. 3. The method of claim 2 , wherein the phase of the complex spectrum of the replacement frame m is predicted based on a phase for each spectrum coefficient at the peak and its surrounding in the second to last frame m−2 preceding the replacement frame m. 4. The method of claim 2 , wherein the phase shift between the last frame m−1 and the second to last frame m−2 preceding the replacement frame m is equal for each spectrum coefficient at the peak and its surrounding in the respective frames. 5. The method of claim 1 , wherein the tonal component is defined by the peak and its surrounding. 6. The method of claim 1 , wherein the surrounding of the peak is defined by a predefined number of coefficients around the peak. 7. The method of claim 1 , wherein the surrounding of the peak comprises a first number of coefficients on the left from the peak and a second number of coefficients on the right from the peak. 8. The method of claim 7 , wherein the first number of coefficients comprises coefficients between a left foot and the peak plus the coefficient of the left foot, and wherein the second number of coefficients comprises coefficients between a right foot and the peak plus the coefficient of the right foot. 9. The method of claim 7 , wherein the first number of coefficients on the left from the peak and the second number of coefficients on the right from the peak are equal or different. 10. The method of claim 9 , wherein the first number of coefficients on the left from the peak is three and the second number of coefficients on the right from the peak is three. 11. The method of claim 6 , wherein the predefined number of coefficients around the peak is set prior to detecting the tonal component. 12. The method of claim 1 , wherein the size of the surrounding of the peak is adaptive. 13. The method of claim 12 , wherein the surrounding of the peak is selected such that surroundings around two peaks do not overlap. 14. The method of claim 2 , wherein the spectrum coefficient for the peak and its surrounding in the spectrum of the replacement frame m is predicted based on the magnitude of the complex spectrum of an intermediate frame between the last frame m−1 and the second to last frame m−2 preceding the replacement frame m and the predicted phase of the complex spectrum of the replacement frame m. 15. The method of claim 14 , wherein the phase of the complex spectrum of the replacement frame m is predicted based on the phase of the complex spectrum of the intermediate frame preceding the replacement frame m and a phase shift between intermediate frames preceding the replacement frame m, or the phase of the complex spectrum of the replacement frame m is predicted based on the phase of the complex spectrum of the last frame m−1 preceding the replacement frame m and a refined phase shift between intermediate frames preceding the replacement frame m, the refined phase shift being determined based on the phase of the complex spectrum of the last frame m−1 preceding the replacement frame m and the phase of the complex spectrum of the intermediate frame preceding the replacement frame m. 16. The method of claim 1 , wherein detecting a tonal component of the spectrum of the audio signal comprises: searching peaks in the spectrum of the last frame m−1 preceding the replacement frame m based on one or more predefined thresholds; adapting the one or more thresholds; and searching peaks in the spectrum of the second to last frame m−2 preceding the replacement frame m based on one or more adapted thresholds. 17. The method of claim 16 , wherein adapting the one or more thresholds comprises setting the one or more thresholds for searching a peak in the second to last frame m−2 preceding the replacement frame min a region around a peak found in the last frame m−1 preceding the replacement frame m based on the spectrum and a spectrum envelope of the last frame m−1 preceding the replacement frame m, or based on a fundamental frequency calculated form a pitch lag between frames for the audio signal. 18. The method of claim 17 , wherein the fundamental frequency is for the signal comprising the last frame m−1 preceding the replacement frame m and the look-ahead of the last frame m−1 preceding the replacement frame m. 19. The method of claim 18 , wherein the look-ahead of the last frame m−1 preceding the replacement frame is calculated on the encoder side using the look-ahead. 20. The method of claim 16 , wherein adapting the one or more thresholds comprises setting the one or more thresholds for searching a peak in the second to last frame m−2 preceding the replacement frame m in a region not around a peak found in the last frame m−1 preceding the replacement frame m to a predefined threshold value. 21. The method of claim 1 , comprising: determining for the replacement frame m whether to apply a time domain concealment or a frequency domain concealment using the prediction of spectrum coefficients for tonal components of the audio signal. 22. The method of claim 21 , wherein the frequency domain concealment is applied in case the last frame m−1 preceding the replacement frame m and the second to last frame m−1 preceding the replacement frame m comprise a constant pitch, or an analysis of one or more frames preceding the replacement frame m indicates that a number of tonal components in the signal exceeds a predefined threshold. 23. The method of claim 1 , wherein the frames of the audio signal are coded using MDCT. 24. The method of claim 1 , wherein a replacement frame m comprises a frame that cannot be processed at an audio signal receiver due to an error in the received data, or a frame that was lost during transmission to the audio signal receiver, or a frame not received in time at the audio signal receiver. 25. The method of claim 1 , wherein a non-predicted spectrum coefficient is generated using a noise generating method, the noise generating method including sign scrambling, or using a predefined spectrum coefficient from a memory, the memory including a look-up table. 2
Correction of errors induced by the transmission channel, if related to the coding algorithm · CPC title
using orthogonal transformation · CPC title
Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients · CPC title
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