Sinusoidal Interpolation for Audio Packet Loss Concealment
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Solution Overview
Problem
Existing packet-loss concealment methods for audio signals are inadequate, particularly for music, as they rely heavily on speech signal structures and fail to effectively restore continuity in more complex audio signals, leading to audible discontinuities and degraded audio quality.
Innovation Solution
A computer-implemented method that computes spectra of audio signal segments, determines magnitude peaks, pairs neighbor peaks based on a distance-dependent weighting criterion, and performs interpolation across missing segments using sinusoidal modeling to generate restoration data, allowing for real-time concealment of packet loss and discontinuities in audio signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speech-based packet-loss concealment methods are used, then speech signal restoration is improved, but general audio signal restoration deteriorates
Solution Approach 1:
The patent applies universality by developing a packet-loss concealment method that works for both speech and music signals. The sinusoidal modeling approach with spectral peak pairing and phase alignment is designed to handle the different characteristics of speech and music signals, making the system versatile across general audio signals rather than speech-specific.
Solution Approach 2:
The patent changes parameters by adapting the interpolation method to account for different signal types. By adjusting the spectral peak pairing criteria, magnitude interpolation, and phase alignment based on the characteristics of the input signal (speech vs. music), the system optimizes restoration for each signal type while maintaining general applicability.
2Ease of manufacture
If zero insertion is used for missing segments, then implementation simplicity is improved, but audio quality deteriorates
Solution Approach 1:
The patent introduces an intermediary process between zero insertion and final output. By computing spectra, pairing spectral peaks, and performing magnitude and phase interpolation, the system creates a intermediate restoration that bridges the discontinuity caused by packet loss, eliminating audible artifacts while maintaining computational feasibility.
Solution Approach 2:
The patent replaces the simple mechanical approach of zero insertion with a spectral-domain processing approach. By working in the frequency domain (spectral peak pairing, magnitude interpolation, phase alignment) and transforming back to time domain, the system achieves superior audio quality without excessive complexity.
3Measurement precision
If spectral peak pairing with distance-dependent weighting is used, then interpolation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by using distance-dependent weighting in spectral peak pairing. Peaks that are closer in frequency receive higher weighting, allowing the algorithm to focus computational effort on the most relevant peak pairings while reducing processing for distant peaks. This localized approach improves accuracy for critical peak pairs without proportionally increasing overall complexity.
Data Source
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AI summary
Provided are methods and systems for concealing missing segments and/or discontinuities in an audio signal, thereby restoring the continuity of the signal. The methods and systems are designed for and targeted at audio signals, are based on interpolation and extrapolation operations for sinusoids, and do not rely on the assumption that the sinusoids are harmonic. The methods and systems are improvements over existing audio concealment approaches in that, among other advantages, the methods and systems facilitate asynchronous interpolation, use an interpolation procedure that corresponds to time-domain waveform interpolation if the signal is harmonic, and have a peak selection procedure that is effective for audio signals.