CSV files of all paper data

The data provided below should be enough to reproduce the primary data figures in the paper. They are organized in the order in which they appear in the paper. Each CSV file contains 11 columns: - Algorithm: The name of the algorithm being tested - Number: Stimulus ID - SNR: Input SNR (dB) of the stimulus - Composite Signal: Composite estimate of speech distortion - Composite Background: Composite estimate of background intrusiveness - Composite Overall: Composite estimate of overall quality - STOI: Short-time objective intelligibility - LLR: Log-likelihood ratio - Segmental SNR: Output segmental SNR (dB) - PESQ: Perceptual estimate of sound quality - WSS: Weighted spectral slope Figure 5 - 1_speakers_speech_shaped_noise.csv - 16_speakers_speech_shaped_noise.csv Figure 7 - 1_speakers_babble.csv - 16_speakers_babble.csv Figure 8 - delays_babble.csv - delays_speech_shaped_noise.csv Supplementary Figure 2 - 16_speakers_cafe.csv - 16_speakers_car.csv - 16_speakers_home.csv - 16_speakers_largetrain_babble.csv - 16_speakers_largetrain_speech_shaped_noise.csv - 16_speakers_reverberant.csv - 16_speakers_street.csv Supplementary Figure 3 - all_speakers_airport.csv - all_speakers_birds.csv - all_speakers_machine.csv - all_speakers_ocean.csv - all_speakers_pinknoise.csv - all_speakers_rain.csv - all_speakers_rainforest.csv - all_speakers_station.csv - all_speakers_theater.csv - all_speakers_train.csv - all_speakers_whitenoise.csv - all_speakers_wind.csv