# Comparison of Uniform and Random Sampling for Speech and Music Signals

## TL;DR

This paper compares uniform and random sampling methods for speech and music signals, demonstrating that uniform sampling with cubic spline interpolation yields superior performance over other techniques.

## Contribution

It provides a comparative analysis of sampling schemes and introduces an effective recovery method using cubic spline interpolation for audio signals.

## Key findings

- Uniform sampling with cubic spline interpolation outperforms other methods.
- Simulation results validate the effectiveness of the proposed approach.
- Adaptive thresholding enhances recovery quality.

## Abstract

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.