A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]
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Updated
Oct 11, 2024 - Python
A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]
Developed for Acoustical Instruments & Measurements, UNTREF.
These codes can be used to extract classic acoustic parameters and phonemes info from audio interjection files (human voice). They also serve to personnalize the names of new files, clean them, and extract data manually. Most steps use programs which make suggestions and ask for confirmation/adjustments to the user.
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