Man pages for bmsasilva/soundClass
Sound Classification Using Convolutional Neural Networks
| app_label | Shiny app to label recordings |
| app_model | Shiny app to fit a model or run a fitted model |
| auto_id | Automatic classification of sound events in recordings |
| butter_filter | Apply a butterworth filter to sound samples |
| create_db | Create a sqlite3 database |
| find_noise | Detect energy peaks in recordings with non-relevant events |
| import_audio | Import a recording |
| ms2samples | Convert between time and number of samples in sound files |
| pipe | Pipe operator |
| plot_td | Plot training spectrograms |
| spectro_calls | Generate spectrograms from labels |
| train_metadata | Obtain train metadata to run a fitted model |
