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.DS_Store (6148, 2023-03-16)
LICENSE (1068, 2023-03-16)
MATLAB (0, 2023-03-16)
MATLAB\functions (0, 2023-03-16)
MATLAB\functions\fcn_AIRs_to_ATFs.m (781, 2023-03-16)
MATLAB\functions\fcn_condition_limiting.m (531, 2023-03-16)
MATLAB\functions\fcn_extract_IRs_EasyCom.m (726, 2023-03-16)
MATLAB\functions\fcn_mvdr_sshybrid.m (4163, 2023-03-16)
MATLAB\functions\fcn_mvdr_weights.m (183, 2023-03-16)
MATLAB\functions\fcn_plot_polar.m (426, 2023-03-16)
MATLAB\functions\fcn_plot_spec.m (383, 2023-03-16)
MATLAB\functions\fcn_quad_weights.m (2697, 2023-03-16)
MATLAB\functions\get_angle_between.m (1001, 2023-03-16)
MATLAB\functions\get_pos_interpolant.m (980, 2023-03-16)
MATLAB\functions\prepare_stft_params.m (683, 2023-03-16)
MATLAB\functions\read_ht_data.m (3799, 2023-03-16)
MATLAB\functions\read_participant_relative_position.m (925, 2023-03-16)
MATLAB\functions\read_target_data.m (4115, 2023-03-16)
MATLAB\functions\stft_quick.m (431, 2023-03-16)
MATLAB\functions\stft_v2.m (8807, 2023-03-16)
MATLAB\outputs (0, 2023-03-16)
MATLAB\outputs\test_1.png (523242, 2023-03-16)
MATLAB\outputs\test_1_hyb.wav (120044, 2023-03-16)
MATLAB\outputs\test_1_iso.wav (120044, 2023-03-16)
MATLAB\outputs\test_1_pass.wav (120044, 2023-03-16)
MATLAB\outputs\test_1_sshyb.wav (120044, 2023-03-16)
MATLAB\outputs\test_2.png (556727, 2023-03-16)
MATLAB\outputs\test_2_hyb.wav (120044, 2023-03-16)
MATLAB\outputs\test_2_iso.wav (120044, 2023-03-16)
MATLAB\outputs\test_2_pass.wav (120044, 2023-03-16)
MATLAB\outputs\test_2_sshyb.wav (120044, 2023-03-16)
MATLAB\run_create_dictionary.m (5282, 2023-03-16)
MATLAB\run_sshybrid.m (2529, 2023-03-16)
MATLAB\sap-voicebox (0, 2023-03-16)
MATLAB\sap-voicebox\doc (0, 2023-03-16)
MATLAB\sap-voicebox\doc\copying.txt (17982, 2023-03-16)
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Subspace-Hybrid MVDR Beamforming README for MATLAB Author: Sina Hafezi Paper: Subspace Hybrid Beamforming for Head-worn Microphone Arrays Conference: ICASSP 2023 SUMMARY: A new adaptive beamformer outperforming conventional superdirective beamformer. The beamformer is based on a dictionary of pre-calculated weights for various noise covariance matrix models assuming different noise field isotropies. TEST DATA: A test array ATF (from EasyCom dataset [1]) and two example test cases from EasyCom [1] dataset are provided. Some functions from VOICEBOX [2] toolbox (included) is used. HOW TO RUN: 1) Either download the Dictionary for MATLAB 'sshybrid_dictionary.mat' (480 MB) from https://www.dropbox.com/s/4e11j5d52wab7m7/%EF%BB%BFsshybrid_dictionary.mat?dl=0 and place it in the same directory as the MATLAB codes OR create the dictionary by running 'run_create_dictionary.m' (takes about 1 minute) to generate and save the same dictionary file. 2) Run 'run_sshybrid.m' which returns the output audio, plots the results and optionally saves the output audio/plots. USE IT WITH YOUR OWN ARRAY/DATASET: You would need to replace 'fcn_extract_IRs_EasyCom.m' function in 'run_create_dictionary.m' script and re-generate a new dictionary. Make sure the output of your own customized 'fcn_extract_IRs_' function follows the same format as the 'fcn_extract_IRs_EasyCom.m'. For dataset, you just need to read-in and pass your target DOAs over time as a matrix of [time_sec, azimuth_deg, elevation_deg]. The rest is compatible. CONTACT: sina.clamet@gmail.com (private - preferred) sina.hafezi@imperial.ac.uk (academic) REFERENCES: [1] J. Donley, etc. "EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments" https://doi.org/10.48550/arXiv.2107.04174 [2] M. Brookes. "VOICEBOX" https://github.com/ImperialCollegeLondon/sap-voicebox http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html

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