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Small bugfixes: #9

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2 changes: 1 addition & 1 deletion examples/beamforming/mask_prediction/local/Build_MaskBFnet_CE.m
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
layer = genNetworkMaskBF_CE(para.topology); % generate the network graph
para.preprocessing{1} = {}; % optional preprocessing for each data stream
para.preprocessing{2} = {};
if para.topology.MTL
if isfield(para.topology, 'MTL') && para.topology.MTL
para.cost_func.layer_idx = [ReturnLayerIdxByName(layer, 'cross_entropy') length(layer)]; % specify which layers are cost function layers
para.cost_func.layer_weight = [1 para.topology.MTL]; % set the weights of each cost function layer
para.preprocessing{3} = {};
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4 changes: 2 additions & 2 deletions utils/Reader_waveform.m
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Original file line number Diff line number Diff line change
Expand Up @@ -22,14 +22,14 @@
% read in multichannel waveforms
if isfield(reader, 'multiArrayFiles') && reader.multiArrayFiles % when the different channels are stored in different files
for j=1:length(files{i})
[tmp_wav, fs] = Reader_waveform_core(files{i}{j}, reader.fs);
[tmp_wav, fs] = Reader_waveform_core(files{i}{j}, reader);
if j==1
wav = zeros(length(files{i}), length(tmp_wav));
end
wav(j,:) = tmp_wav;
end
else % when the different channels are stored in the same file
[wav, fs] = Reader_waveform_core(files{i}, reader.fs);
[wav, fs] = Reader_waveform_core(files{i}, reader);
end
% optional selection of channels
if isfield(reader, 'useChannel')
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