Amount of audio detected as rain in a sample as it varies with split length.

<p>Amount of audio detected as rain in a sample as it varies with split length.</p

Comparison of detection accuracy depending on use of MMSE STSA filter.

<p>Comparison of detection accuracy depending on use of MMSE STSA filter.</p

Computation times for each processing step in relation to split lengths with standard deviations.

<p>Computation times for each processing step in relation to split lengths with standard deviations.</p

High-pass filtering computation times.

<p>High-pass filtering computation times comparison, between splitting to the final length, downsampling, and then high-pass filtering (one split) and splitting to 1-minute (2.5 MB) chunks first, downsampling and high-pass filtering, then splitting to the final length (two splits).</p

Ten best configurations identified in distribution testing.

<p>Ten best configurations identified in distribution testing.</p

Area Under the Curve (AUC) results for silence removal, with 95% Confidence Intervals (CI) for raw and MMSE STSA filtered audio using Power Spectral Density (PSD) and Signal to Noise Ratio (SNR) thresholds.

<p>Area Under the Curve (AUC) results for silence removal, with 95% Confidence Intervals (CI) for raw and MMSE STSA filtered audio using Power Spectral Density (PSD) and Signal to Noise Ratio (SNR) thresholds.</p

Computation times per process for different split lengths up to cicada detection.

<p>Error bars indicate standard deviation (FFT = Fast Fourier Transform, HPF = High-Pass Filter, MMSE STSA = Minimum Mean Square Error Short Time Spectral Amplitude filter).</p

Rain detection accuracy.

<p>Rain detection accuracy.</p

Denoising steps of the processing pipeline, processed by the slaves.

<p>Denoising steps of the processing pipeline, processed by the slaves.</p

Rate of improvement in execution time per number of cores.

<p>This is given by Execution Time of 1 core/Execution time of <i>x</i> cores.</p