A sample of off line sound source separation is introduced first. Since input sounds are files, even the users who do not have a multi-channel AD can confirm while executing sound source separation.
Run demo.sh in Separation directory with a command line argument “offline”. After you run, you will see the separated sounds in sep_files/. The file names are offline_%d.wav.
If you failed run the sample, check the following things.
Check if the transfer function files kinect_loc.dat, kinect_sep.tff files are in the ../config directory.
Check if MultiSpeech.wav is in the ../data directory.
Twelve nodes are included in this sample. There are three nodes in MAIN (subnet) and are nine nodes in MAIN_LOOP (iterator). MAIN (subnet) includs Constant , InputStream , and MAIN_LOOP (iterator). MAIN_LOOP (iterator) is shown in Fig. 14.12 The audio waveforms read from the files in the AudioStreamFromWave node are analyzed in MultiFFT , separated in GHDSS , synthesized in Synthesize and the audio waveforms are saved in SaveWavePCM .
An important parameter is TF_CONJ_FILENAME. Use the file created in harktool3 from impulse responses of a kinect.