ASMMSDMay 1, 2017

Comparison of Uniform and Random Sampling for Speech and Music Signals

arXiv:1705.01457v24 citations
Originality Synthesis-oriented
AI Analysis

This work addresses sampling efficiency for audio signals, but it is incremental as it compares existing methods without introducing new techniques.

The paper compared uniform and random sampling for speech and music signals, finding that uniform sampling with cubic spline interpolation outperformed other methods in simulation results.

In this paper, we will provide a comparison between uniform and random sampling for speech and music signals. There are various sampling and recovery methods for audio signals. Here, we only investigate uniform and random schemes for sampling and basic low-pass filtering and iterative method with adaptive thresholding for recovery. The simulation results indicate that uniform sampling with cubic spline interpolation outperforms other sampling and recovery methods.

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